Paper Citation Record · LEDGER

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks

As of 7 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 3 inbound Pith citation observations for arXiv:2507.23172.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.23172 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:03:32.220111Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:47:59.248127Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T11:46:55.739072Z

Reference resolution

75 of 75 outbound references displayed

verified exact3
verified fuzzy25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0259aa2-b285-4ab6-9435-193e1a95d66b · outbound

This paper cites Deep reinforcement learning at the edge of the statistical precipice.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Deep reinforcement learning at the edge of the statistical precipice

Reference 1

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Observation a5fa4944-397e-44e1-8606-27211b6b0bf6 · outbound

This paper cites Locomujoco: A comprehensive imitation learning benchmark for locomotion.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Locomujoco: A comprehensive imitation learning benchmark for locomotion

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:38.932352Z

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Observation 4bad7e69-22dd-4008-acfc-f4649fc76bef · outbound

This paper cites Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:03:33.564907Z

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Observation 3827d9ad-3158-4b90-8100-960951aa70db · outbound

This paper cites Layer Normalization.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Layer Normalization

Reference 4

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Observation 99b10ff1-ae20-4779-bf81-9719f4b0d411 · outbound

This paper cites Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:21.926066Z

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Observation 148d73d9-d505-4656-9469-ff55e32f826b · outbound

This paper cites Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX

Reference 6

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Observation 491e358b-41aa-4f9b-9660-e1946ef5fc3b · outbound

This paper cites DaXBench: Benchmarking Deformable Object Manipulation with Differentiable Physics.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks DaXBench: Benchmarking Deformable Object Manipulation with Differentiable Physics

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:22.248755Z

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Observation 312e53a3-d87f-4fef-81a8-051d536222d3 · outbound

This paper cites Extreme parkour with legged robots.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Extreme parkour with legged robots

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:38.787178Z

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Observation 35b71f9c-0e24-4310-bd0f-c3675fd4cd26 · outbound

This paper cites Leveraging procedural generation to benchmark reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Leveraging procedural generation to benchmark reinforcement learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:38.564219Z

Source-reported events for the cited work

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Observation faac1cd1-27bd-4bce-b510-9776a76ae743 · outbound

This paper cites Sample-efficient reinforcement learning by breaking the replay ratio barrier.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Sample-efficient reinforcement learning by breaking the replay ratio barrier

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:38.332518Z

Source-reported events for the cited work

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Observation bfddbf17-7840-428c-8808-b0106f042cda · outbound

This paper cites Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures

Reference 11

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Observation 3870f6e1-a552-42ea-b335-6bc2d11dee6b · outbound

This paper cites Franka emika panda robot, 2017.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Franka emika panda robot, 2017

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:38.161508Z

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Observation 54764a4d-0c94-40c1-abf4-a62653d42ccc · outbound

This paper cites Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

Reference 13

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Observation ccd60bd3-ae62-47bd-a072-3bd43242188b · outbound

This paper cites Deep whole-body control: learning a unified policy for manipulation and locomotion.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Deep whole-body control: learning a unified policy for manipulation and locomotion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:37.965262Z

Source-reported events for the cited work

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Observation ab8b6e32-c3dd-4343-aa03-25fb4bda2d62 · outbound

This paper cites Simplifying Deep Temporal Difference Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Simplifying Deep Temporal Difference Learning

Reference 15

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Observation 8459246d-52e0-4e88-b6a0-342a40ad399c · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 16

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Observation 7a321585-e291-49c4-9d6e-32adc78b4397 · outbound

This paper cites Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

Reference 17

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Observation d59c6f04-43fc-48a7-9b93-b6c32e809d66 · outbound

This paper cites Multi-task deep reinforcement learning with popart.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Multi-task deep reinforcement learning with popart

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:37.796592Z

Source-reported events for the cited work

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Observation a46b7bb0-bc39-44d3-8dbf-881ccef46813 · outbound

This paper cites Distributed Prioritized Experience Replay.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Distributed Prioritized Experience Replay

Reference 19

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Observation 9e9ffe28-7bb2-4d4b-b8a9-1b7cd0c3554b · outbound

This paper cites Learning agile and dynamic motor skills for legged robots.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Learning agile and dynamic motor skills for legged robots

Reference 20

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Observation f3258f4a-b1b9-43b5-b886-798a84a21ba2 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 21

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Observation dd30d924-2919-47fd-aa93-5fedc6e7b561 · outbound

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Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation 5ab0480f-88c2-482e-8a09-ab1a4f53cc69 · outbound

This paper cites A survey of zero-shot generalisation in deep reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks A survey of zero-shot generalisation in deep reinforcement learning

Reference 23

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Source-reported events for the cited work

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Observation 4395375f-7a86-46d0-b96e-855ff9522a56 · outbound

This paper cites Pgx: Hardware-accelerated parallel game simulators for reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Pgx: Hardware-accelerated parallel game simulators for reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:37.298339Z

Source-reported events for the cited work

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Observation 0e12560f-4329-4fbf-8dd1-372ed53574d4 · outbound

This paper cites gymnax : A JAX -based reinforcement learning environment library, 2022.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks gymnax : A JAX -based reinforcement learning environment library, 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:37.121591Z

Source-reported events for the cited work

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Observation 5a40fe96-9794-4111-bade-18bcb46fbbfa · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Learning quadrupedal locomotion over challenging terrain

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:36.887243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae0ec9ea-4485-46d2-9123-ad50587f3a1b · outbound

This paper cites Parallel q -learning: Scaling off-policy reinforcement learning under massively parallel simulation.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Parallel q -learning: Scaling off-policy reinforcement learning under massively parallel simulation

Reference 27

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Source-reported events for the cited work

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Observation 364232bc-313b-4d15-8146-02d236d6c375 · outbound

This paper cites Rllib: Abstractions for distributed reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Rllib: Abstractions for distributed reinforcement learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:36.568419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ab1ae18-ad23-4ec2-a8df-b474ab50a07c · outbound

This paper cites Gpu-accelerated robotic simulation for distributed reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Gpu-accelerated robotic simulation for distributed reinforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:36.382119Z

Source-reported events for the cited work

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Observation d37a556b-2458-43da-919f-b8703e104bfc · outbound

This paper cites Eurekaverse: Environment Curriculum Generation via Large Language Models.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Eurekaverse: Environment Curriculum Generation via Large Language Models

Reference 30

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Observation 47eec33a-a586-4242-80be-6a08a54dd6b5 · outbound

This paper cites FAMO: Fast Adaptive Multitask Optimization.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks FAMO: Fast Adaptive Multitask Optimization

Reference 31

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Observation 089e5355-0b7b-4230-b443-348793f2127b · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 32

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Observation 9dcc7e5e-a8a9-45e2-b9b0-eefce8af99a2 · outbound

This paper cites Conflict-Averse Gradient Descent for Multi-task Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Conflict-Averse Gradient Descent for Multi-task Learning

Reference 33

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This paper cites Perpetual humanoid control for real-time simulated avatars.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Perpetual humanoid control for real-time simulated avatars

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:36.210790Z

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Observation 54044885-8e42-4ff7-82e6-3826c246efd0 · outbound

This paper cites rl-games: A high-performance framework for reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks rl-games: A high-performance framework for reinforcement learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:36.036181Z

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Observation ce8db6ca-13f9-4303-8011-c66f60ef4308 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 36

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Observation 51f0bb4e-13d4-4c88-b0d5-0942b92d19ff · outbound

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Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Rapid locomotion via reinforcement learning

Reference 37

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This paper cites Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 38

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Observation bb8220b2-4ab6-4d99-bfc5-e802104815c9 · outbound

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Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Orbit: A unified simulation framework for interactive robot learning environments

Reference 39

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Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Playing Atari with Deep Reinforcement Learning

Reference 40

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This paper cites Rusu, Joel Veness, Marc G.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Rusu, Joel Veness, Marc G

Reference 41

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Observation 042c9cc2-100a-4ca5-a884-dab096552ee5 · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Asynchronous methods for deep reinforcement learning

Reference 42

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Observation 6adb8350-b470-4884-8cee-2a8e9ef67971 · outbound

This paper cites POPGym: Benchmarking Partially Observable Reinforcement Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks POPGym: Benchmarking Partially Observable Reinforcement Learning

Reference 43

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Observation 60f8519e-7bb0-4d02-a5dd-db22594ca89e · outbound

This paper cites Massively Parallel Methods for Deep Reinforcement Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Massively Parallel Methods for Deep Reinforcement Learning

Reference 44

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Observation 21094dcb-5b7d-4cdc-9496-eda1c508bba8 · outbound

This paper cites Learning Dexterous In-Hand Manipulation.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Learning Dexterous In-Hand Manipulation

Reference 45

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Observation 94b606da-e505-4439-a907-8aea010ac98d · outbound

This paper cites OGBench: Benchmarking Offline Goal-Conditioned RL.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks OGBench: Benchmarking Offline Goal-Conditioned RL

Reference 46

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Observation 8025aec0-f76e-4f0f-80f3-3c664fa6c409 · outbound

This paper cites Sample factory: Egocentric 3d control from pixels at 100000 fps with asynchronous reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Sample factory: Egocentric 3d control from pixels at 100000 fps with asynchronous reinforcement learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:35.709263Z

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Observation 56cf0269-8829-47f6-9178-353ac92748be · outbound

This paper cites Learning to Push by Grasping: Using multiple tasks for effective learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Learning to Push by Grasping: Using multiple tasks for effective learning

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:03:33.005502Z

Source-reported events for the cited work

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Observation a31f0dba-12cf-4f62-b3ad-670077d431ca · outbound

This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Learning to walk in minutes using massively parallel deep reinforcement learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:35.534278Z

Source-reported events for the cited work

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Observation 40a0afb0-41b0-49d2-8666-7bfd43cfeec4 · outbound

This paper cites JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks JaxMARL: Multi-Agent RL Environments and Algorithms in JAX

Reference 50

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Source-reported events for the cited work

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Observation 842ede67-ce26-4d2e-9dcf-cef77f684586 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Proximal Policy Optimization Algorithms

Reference 51

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Observation 0ee4ca13-facb-48a3-9191-b09fb5d5866d · outbound

This paper cites Solving Continuous Control via Q-learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Solving Continuous Control via Q-learning

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:03:32.734490Z

Source-reported events for the cited work

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Observation d968c205-8934-42fd-b2a7-ad78bab7f571 · outbound

This paper cites HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:28.917713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8291e303-13cf-4d50-8383-79c9691d366f · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:29.080753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b2a84a9-6694-411d-a3a9-4ee50ab02404 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Mastering the game of go with deep neural networks and tree search

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:29.291269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8edd2085-984b-4cd6-a003-1f3f81c939a4 · outbound

This paper cites Sapg: Split and aggregate policy gradients.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Sapg: Split and aggregate policy gradients

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:35.336689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b44df3ee-a281-468c-8b6e-fd5c22f9e1ed · outbound

This paper cites Mtrl - multi task rl algorithms.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Mtrl - multi task rl algorithms

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:34.953844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b98ea7ac-7bc8-4b88-9745-60fcd076016a · outbound

This paper cites Multi-task reinforcement learning with context-based representations.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Multi-task reinforcement learning with context-based representations

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:34.630161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73c4d6a4-1bee-416e-a3ef-9a44468a2bb7 · outbound

This paper cites PaCo: Parameter-Compositional Multi-Task Reinforcement Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:29.790459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c905634-aadf-4819-961e-8212124c9f4b · outbound

This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:29.901954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 914f3f29-610e-43fc-bde4-5c3aa65780a4 · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Policy gradient methods for reinforcement learning with function approximation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:30.091789Z

Source-reported events for the cited work

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Observation 9ea2fe3f-5da3-46b9-84fa-74f99b29251f · outbound

This paper cites ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:30.239033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68c89edc-604f-4cc5-9864-f4518319b735 · outbound

This paper cites DeepMind Control Suite.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks DeepMind Control Suite

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:30.405738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf13415-3bb3-4bda-997f-b352ffbfb748 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Mujoco: A physics engine for model-based control

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:30.591670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5a82a9-c46a-48eb-9fff-257bfa6a15c9 · outbound

This paper cites Go1 User Manual.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Go1 User Manual

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:34.371334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79daa933-3cb6-46f4-adc2-430add7b2e7d · outbound

This paper cites Dueling Network Architectures for Deep Reinforcement Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Dueling Network Architectures for Deep Reinforcement Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:30.851313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76425055-dca4-44c7-be27-c1107a9aa233 · outbound

This paper cites Outracing champion gran turismo drivers with deep reinforcement learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Outracing champion gran turismo drivers with deep reinforcement learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:34.063335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e35af45e-1f0b-448d-b13c-8b2845a3e1bb · outbound

This paper cites Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:31.098377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b81ebc2e-3859-43b7-8cf5-1912b4c15131 · outbound

This paper cites Multi-Task Reinforcement Learning with Soft Modularization.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Multi-Task Reinforcement Learning with Soft Modularization

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:31.215734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f03fb84-dc42-4b67-b1a5-abfff31214d3 · outbound

This paper cites Gradient Surgery for Multi-Task Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Gradient Surgery for Multi-Task Learning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:31.393593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54e0e1a9-2db9-4aba-94b0-ea133a08d417 · outbound

This paper cites Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:31.574523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1687d3a9-5815-4d30-ad87-3707271c1528 · outbound

This paper cites Kahrs, Carlo Sferrazza, Yuval Tassa, and Pieter Abbeel.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Kahrs, Carlo Sferrazza, Yuval Tassa, and Pieter Abbeel

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:03:33.804878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 745be101-15cf-404c-8fa4-113e362d9d90 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:31.888331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a99782d8-5d50-41a7-b8e4-d33ff230ed85 · outbound

This paper cites Robot Parkour Learning.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Robot Parkour Learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:32.055516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3610a66a-7b43-46b3-a45f-9d670e20b58c · outbound

This paper cites write newline.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks write newline

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:32.220111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c1747023-19c3-4ee6-a954-0939abf28fc4 · inbound

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents cites this paper.

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T09:47:59.248127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f022c6-d5d9-416e-9437-40c857ca52a9 · inbound

TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing cites this paper.

TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:52:05.702271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 320feb81-15bf-4380-b99e-8748e88b3295 · inbound

Representation Learning Enables Scalable Multitask Deep Reinforcement Learning cites this paper.

Representation Learning Enables Scalable Multitask Deep Reinforcement Learning Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:55.741036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.