Paper Citation Record · LEDGER

Goal-Conditioned Reinforcement Learning: Problems and Solutions

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2201.08299.

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

pith.paper-citation-record.v1
2201.08299 v3

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measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:44:58.091912Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-07-08T03:24:28.836511Z

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Outbound references

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Pith citing papers

Observation b9f768c3-f6c6-4e19-8ced-8946163901b7 · inbound

Vision-Language Foundation Models as Effective Robot Imitators cites this paper.

Vision-Language Foundation Models as Effective Robot Imitators Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:44:27.676683Z

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Observation 4b876560-7f52-4f3a-b377-c66222a2351a · inbound

Upside-Down Reinforcement Learning for More Interpretable Optimal Control cites this paper.

Upside-Down Reinforcement Learning for More Interpretable Optimal Control Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 26

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Observation 39a3ff93-8bdf-4c5d-93fd-206c757a1307 · inbound

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering cites this paper.

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 68

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Observation 3006316e-d682-4cc8-836a-8a83f0128be4 · inbound

CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives cites this paper.

CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 16

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Observation 3da55db4-9c97-4bda-94d3-71279520a723 · inbound

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation cites this paper.

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 9

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Observation ef1f48bc-593e-4995-8e6e-c2c5dde228d8 · inbound

MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning cites this paper.

MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 29

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Observation 161940f6-fb9b-4b21-98ed-2522a694d5d1 · inbound

Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning cites this paper.

Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 32

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Observation 21986ddc-3d25-41ff-80b2-d8ad2f3d0980 · inbound

Generalized Back-Stepping Experience Replay in Sparse-Reward Environments cites this paper.

Generalized Back-Stepping Experience Replay in Sparse-Reward Environments Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 14

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Observation 96dcb284-a10b-410c-865a-7512b0def239 · inbound

Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning cites this paper.

Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 57

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Observation d5e18518-2e86-4153-bfd2-06607d1a89fd · inbound

Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control cites this paper.

Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 16

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Observation 106e6232-3df4-4967-9c6b-b83b751e6ca6 · inbound

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning cites this paper.

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 16

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Observation a4d8aa6b-f90d-481d-a873-3033fb4c3260 · inbound

GRAML: Goal Recognition As Metric Learning cites this paper.

GRAML: Goal Recognition As Metric Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 20

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Observation 72854cbe-c926-437f-b070-49ce31435517 · inbound

DreamPolicy: A Unified World-model Policy for Scalable Humanoid Locomotion cites this paper.

DreamPolicy: A Unified World-model Policy for Scalable Humanoid Locomotion Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:52:17.883282Z

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Observation 1af4b4c1-774d-4db5-a01a-53e765946a7f · inbound

On the Parallels Between Evolutionary Theory and the State of AI cites this paper.

On the Parallels Between Evolutionary Theory and the State of AI Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 113

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Observation c5d1b977-6ba4-481b-a841-4a852e7a9bbc · inbound

Reachability Weighted Offline Goal-conditioned Resampling cites this paper.

Reachability Weighted Offline Goal-conditioned Resampling Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 2022

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Observation fb6b9eb2-7d20-4713-b7cb-c33da20962a7 · inbound

Reward Models in Deep Reinforcement Learning: A Survey cites this paper.

Reward Models in Deep Reinforcement Learning: A Survey Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 20

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Observation 7974a871-e96a-47a5-9f66-4fe6ab15f670 · inbound

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models cites this paper.

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 6

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Observation a2a05581-2fcd-41d8-8b9b-66230649f4ba · inbound

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning cites this paper.

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:54:31.197090Z

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Observation 4ea218e3-983c-4711-9946-e715fba6e942 · inbound

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving cites this paper.

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 8

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Observation b1ecc38e-6980-4d53-9207-fa812b98ce3b · inbound

Equivariant Goal Conditioned Contrastive Reinforcement Learning cites this paper.

Equivariant Goal Conditioned Contrastive Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 10

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Self-Curriculum Model-based Reinforcement Learning for Shape Control of Deformable Linear Objects cites this paper.

Self-Curriculum Model-based Reinforcement Learning for Shape Control of Deformable Linear Objects Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 11

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Observation 3ea200fb-773a-400b-8b47-c9146e1a8b61 · inbound

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning cites this paper.

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:20:58.280249Z

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Observation fe268555-00e9-4533-96a9-0d2d9d6035fc · inbound

AdaTracker: Learning Adaptive In-Context Policy for Cross-Embodiment Active Visual Tracking cites this paper.

AdaTracker: Learning Adaptive In-Context Policy for Cross-Embodiment Active Visual Tracking Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:34:47.312157Z

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Observation 56a29c79-bb3c-482c-925d-d536bda25bad · inbound

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:47.179747Z

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Observation 738fbe2b-4b8d-41aa-b108-1fac1b1be53e · inbound

GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories cites this paper.

GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:36:14.892367Z

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Observation 14498daa-0227-42f1-a0fc-433d5d8fe9a5 · inbound

When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning cites this paper.

When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:49:16.044470Z

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Observation 2d00f843-1424-42ac-8c40-fc1ba8dcdd41 · inbound

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning cites this paper.

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:30.363716Z

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Observation df4f7c2a-1c27-4f4d-b391-6da788d9c30e · inbound

Improving Zero-Shot Offline RL via Behavioral Task Sampling cites this paper.

Improving Zero-Shot Offline RL via Behavioral Task Sampling Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 14

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Observation dd71071a-da58-4d56-8dc2-c48e975db8a1 · inbound

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL cites this paper.

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 108

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Observation 6cb6eebc-8701-4752-a0d8-752b89664768 · inbound

Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation cites this paper.

Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 2

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Observation 1b2e9950-94a1-48fc-9d8b-069ac64a58dd · inbound

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning cites this paper.

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 5

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Observation f9442c02-19e0-4661-a17f-b2f8c42540f0 · inbound

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning cites this paper.

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 5

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Observation 9e615d03-41ff-43dc-8644-a2710baab1c4 · inbound

Goal-Conditioned Supervised Learning for LLM Fine-Tuning cites this paper.

Goal-Conditioned Supervised Learning for LLM Fine-Tuning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.101400Z

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Observation 0cc70f80-1952-4bd7-b18d-166027b674c9 · inbound

CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning cites this paper.

CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 18

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Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications cites this paper.

Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 23

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Observation 9b1e5aaf-2f60-4689-916f-f6175e76c5b8 · inbound

Dual Advantage Fields cites this paper.

Dual Advantage Fields Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:27.870593Z

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Observation 3de0bea2-bdc0-4011-88ed-02739649657b · inbound

GUIDE: Goal-Initialized Directional Understanding for End-to-End Visual Navigation cites this paper.

GUIDE: Goal-Initialized Directional Understanding for End-to-End Visual Navigation Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:47:42.059834Z

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Observation 2c96bc35-26b7-44d2-8ffd-c6054725e69c · inbound

Learning Object Manipulation from Scratch via Contrastive Interaction cites this paper.

Learning Object Manipulation from Scratch via Contrastive Interaction Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:17:57.436177Z

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Observation aa3b42f0-f16f-47a4-96c5-f77931f3d7fa · inbound

Embodiment Shapes Rolling Behavior in a Multimodal Infant Model cites this paper.

Embodiment Shapes Rolling Behavior in a Multimodal Infant Model Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:48:56.261209Z

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Observation 1faef4cd-863f-438d-9025-a7b4142d9312 · inbound

World Models in Pieces: Structural Certification for General Agents cites this paper.

World Models in Pieces: Structural Certification for General Agents Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:00:01.600010Z

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Observation 6edea12b-d8cc-420d-806a-21d0d2a678ee · inbound

Coachable agents for interactive gameplay cites this paper.

Coachable agents for interactive gameplay Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:56:56.521838Z

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Observation fee86fc1-268c-4449-afde-bcd9c2db1f0b · inbound

FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games cites this paper.

FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T03:24:28.837788Z

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Observation 502c102c-5cce-4c05-baf4-bccce6d4c1bb · inbound

A Single Diffusion-Policy Controller for Multi-Task Block Pushing with Zero-Shot Sim-to-Real Transfer cites this paper.

A Single Diffusion-Policy Controller for Multi-Task Block Pushing with Zero-Shot Sim-to-Real Transfer Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T08:30:10.584105Z

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Observation 8c3fc251-e5d9-4816-a034-a9522b7f4a3e · inbound

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention cites this paper.

DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention Goal-Conditioned Reinforcement Learning: Problems and Solutions

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T04:15:53.392271Z

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Unavailable: canonical work link unavailable.