Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory GPT-4 Technical Report

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Uncertainty-based continual learning with adaptive regularization

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This paper cites April: Active preference-learning based reinforcement learning, 2012.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory April: Active preference-learning based reinforcement learning, 2012

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Memory aware synapses: Learning what (not) to forget

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Gradient based sample selection for online continual learning

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This paper cites Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Unresolved cited work

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This paper cites Rainbow memory: Continual learning with a memory of diverse samples.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Rainbow memory: Continual learning with a memory of diverse samples

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Working memory

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Learning long-term dependen- cies with gradient descent is difficult

Reference 10

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Credit assignment through time: Alternatives to backpropagation

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Improving image generation with better captions

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Recurrent memory decision transformer

Reference 13

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 14

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This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Burtsev, Yuri Kuratov, Anton Peganov, and Grigory V

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Language Models are Few-Shot Learners

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory An interactive framework for learning continuous actions policies based on corrective feedback

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Dark experience for general continual learning: a strong, simple baseline

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Unresolved cited work

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Abbeel, A

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Diffusion policy: Visuomotor policy learning via action diffusion

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Brown, Miljan Martic, Shane Legg, and Dario Amodei

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Learning phrase representations using rnn encoder-decoder for statistical machine translation, 2014

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory What are the differences between long-term, short-term, and working memory? Progress in brain research, 169:323–338, 2008

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Turning the Flywheel: A Monograph to Accompany Good to Great

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Deep transformer q-networks for partially observable reinforcement learning, 2022

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Diffusion models beat gans on image synthesis

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Andrej karpathy on Tesla AI data en- gine

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Gener- alization of reinforcement learners with working and episodic memory, 2020

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Cril: Continual robot imitation learning via generative and prediction model

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory HumanPlus: Humanoid Shadowing and Imitation from Humans

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Neural turing machines, 2014

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Generative adversarial networks

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Rt-trajectory: Robotic task generalization via hindsight trajectory sketches, 2023

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Hybrid computing using a neural network with dynamic external memory

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Learning latent dynamics for planning from pixels, 2019

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Improved training of wasserstein gans

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Generative adversarial imitation learning

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Deep recurrent q-learning for partially observable mdps, 2017

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Long short-term memory.Neural Compu- tation, 9:1735–1780, 1997

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Denoising diffusion probabilistic models

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Re-evaluating continual learning scenarios: A categorization and case for strong baselines, 2019

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Training Compute-Optimal Large Language Models

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Optimizing agent behavior over long time scales by transporting value

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Different ways to cue a coherent memory system: A theory for episodic, semantic, and procedural tasks

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Offline reinforcement learning as one big sequence modeling problem

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Deep variational reinforcement learning for pomdps, 2018

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual learning with node-importance based adaptive group sparse regularization

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Inferring algorithmic patterns with stack- augmented recurrent nets, 2015

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Scaling Laws for Neural Language Models

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Think before you act: Decision transformers with working memory

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Mozer, Chris Pal, and Yoshua Bengio

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Qmdp-net: Deep learning for planning under partial observability, 2017

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Auto-encoding variational {Bayes}

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Bradley Knox and Peter Stone

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell

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This paper cites Towards mental time travel: a hierarchical memory for reinforcement learning agents.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Towards mental time travel: a hierarchical memory for reinforcement learning agents

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.690495Z

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Observation b9c81dcd-e2da-4526-8084-1123e16c89bf · outbound

This paper cites McClelland.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory McClelland

Reference 61

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Observation 80c42d65-f117-4d01-9b52-5f2ad08ca332 · outbound

This paper cites Pebble: Feedback-efficient interactive reinforcement learning via relabeling experience and unsupervised pre-training, 2021.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Pebble: Feedback-efficient interactive reinforcement learning via relabeling experience and unsupervised pre-training, 2021

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.671878Z

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Observation 2a87743b-a9e7-48f0-91bc-d843282c68a1 · outbound

This paper cites Gradient-based learning applied to document recognition.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Gradient-based learning applied to document recognition

Reference 63

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Observation 80712f9f-c1aa-4223-9893-9a77b94e60c9 · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Psychobiology of active and inactive memory

Reference 64

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Observation f28214aa-043f-4d09-a81f-36bb9c959a04 · outbound

This paper cites The promise of generalist robotic policies.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory The promise of generalist robotic policies

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.660864Z

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Observation 543b8080-fa23-48cb-ae4d-c2d0bf3b490e · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 66

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Observation ca65328f-97b3-4dd1-bde5-8fc3a6f6ad7c · outbound

This paper cites Longhorn: State Space Models are Amortized Online Learners.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Longhorn: State Space Models are Amortized Online Learners

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.254902Z

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Observation dfb968cb-c25f-491f-bddf-4523f450e57b · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual Learning of Diffusion Models with Generative Distillation

Reference 68

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Observation 7b10a3ed-b220-4f44-bc14-a411e3c6ea13 · outbound

This paper cites Packnet: Adding multiple tasks to a single network by iterative pruning.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Packnet: Adding multiple tasks to a single network by iterative pruning

Reference 69

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Observation 584f144c-f5fd-4460-b3d1-3c45b652a387 · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory McClelland, Bruce L

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.620951Z

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Observation 61de6bb2-107f-4a0b-b97b-21720b423e3a · outbound

This paper cites Why there are com- plementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Why there are com- plementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.314727Z

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Observation 58851da8-0857-4f6b-adfb-691f7890d6aa · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Spectral Normalization for Generative Adversarial Networks

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.327277Z

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:33:34.607070Z

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Observation 5a754321-9529-40fb-ab09-cd722818a584 · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Unresolved cited work

Reference 74

Resolution: verified exact; raw_fallback, observed 2026-08-10T23:33:33.486438Z

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Observation 0e4e4e33-ce3a-4d5a-9a79-0892ff7cc247 · outbound

This paper cites Some new aspects of the coupon collector’s problem.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Some new aspects of the coupon collector’s problem

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.593638Z

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Observation f7aef68b-4b96-4ccd-b453-9c1de3a32cb4 · outbound

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Variational continual learning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.566032Z

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Observation ddd93d12-46ba-4f18-8b15-fce557efd5b4 · outbound

This paper cites Ng and Stuart J.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Ng and Stuart J

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.579129Z

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Observation 32490258-ec7d-4bcb-a289-94583f2fef21 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Improved denoising diffusion probabilistic models

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.546080Z

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Observation eca04d48-5f89-4bf0-865d-2ef51b4fb699 · outbound

This paper cites When do transformers shine in rl? decoupling memory from credit assignment, 2023.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory When do transformers shine in rl? decoupling memory from credit assignment, 2023

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.346167Z

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory O’Reilly and Kenneth A

Reference 80

Resolution: verified exact; doi, observed 2026-08-10T23:33:33.253431Z

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This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 81

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This paper cites Memory gym: Towards endless tasks to benchmark memory capabilities of agents, 2024.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Memory gym: Towards endless tasks to benchmark memory capabilities of agents, 2024

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.523038Z

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Observation 455cfee9-f97d-4288-993a-cd56e8b971f5 · outbound

This paper cites Memory gym: Partially observable challenges to memory-based agents.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Memory gym: Partially observable challenges to memory-based agents

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.535025Z

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Observation a4a2f87c-fe8c-420a-a3a2-2589fc8fff17 · outbound

This paper cites Continual Learning in Reinforcement Environments.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual Learning in Reinforcement Environments

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.495585Z

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Observation 1453c1ed-8f04-4f1a-a9f4-9dcc8079a47d · outbound

This paper cites Learning transferable visual models from natural language supervision.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Learning transferable visual models from natural language supervision

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.509314Z

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Observation 9b197de8-0409-4841-b5b4-6f6d15a528b4 · outbound

This paper cites Gordon, and J.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Gordon, and J

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.474009Z

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Observation 3b8e92cd-0d32-4235-a1e8-127ece12f137 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory U-net: Convolutional networks for biomedical image segmentation

Reference 87

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Improved techniques for training gans

Reference 88

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Dragan, S

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.461834Z

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Observation ae64e0b0-606a-41a6-acda-34c486abe5fd · outbound

This paper cites Trial without error: Towards safe reinforcement learning via human intervention, 2017.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Trial without error: Towards safe reinforcement learning via human intervention, 2017

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.433224Z

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Observation c0e861dc-0ddb-415b-bfe0-0a26773d2c1a · outbound

This paper cites Is imitation learning the route to humanoid robots? Trends in cognitive sciences, 3(6):233–242, 1999.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Is imitation learning the route to humanoid robots? Trends in cognitive sciences, 3(6):233–242, 1999

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.421355Z

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Observation 85b78576-bbe0-4c4d-a85b-c51652a41168 · outbound

This paper cites Efficiently Guiding Imitation Learning Agents with Human Gaze.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Efficiently Guiding Imitation Learning Agents with Human Gaze

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.541277Z

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Observation ced27611-e5f4-4dfe-9206-e789ac8adca1 · outbound

This paper cites Continual learning with deep generative replay.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual learning with deep generative replay

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.753764Z

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Observation ebeb35ff-45cc-4657-877b-ba5d2df63028 · outbound

This paper cites Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.802262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a8081a-6467-4ce0-8987-ea1175c05226 · outbound

This paper cites Progress & compress: A scalable framework for continual learning.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Progress & compress: A scalable framework for continual learning

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.407428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7a0529c6-e270-4980-9a71-d2ebae969c13 · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.812173Z

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Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Sutton and Andrew G

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.376096Z

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Observation cb8089a2-3c8d-4700-99de-958708ce1e59 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:32.807450Z

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Observation cca3a421-2f5e-4920-b4c9-89e1f23f45dc · outbound

This paper cites Procedural and declarative knowledge: An evolutionary perspective.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Procedural and declarative knowledge: An evolutionary perspective

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.349712Z

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Observation b79a31dd-9e86-4dfc-8f64-e1f4cb4fc381 · outbound

This paper cites Behavioral cloning from observation.

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory Behavioral cloning from observation

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:33:34.335419Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Reference resolution

Outbound references

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