Multi-granularity Knowledge Transfer for Continual Reinforcement Learning

25 January 2024

Papers citing "Multi-granularity Knowledge Transfer for Continual Reinforcement Learning"

35 / 35 papers shown

Title
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning Anthony Kobanda Rémy Portelas Odalric-Ambrym Maillard Ludovic Denoyer OffRL CLL 130 1 0 19 Dec 2024
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance Jesse Zhang Jiahui Zhang Karl Pertsch Ziyi Liu Xiang Ren Minsuk Chang Shao-Hua Sun Joseph J Lim LLMAG LM&Ro 141 63 0 16 Oct 2023
Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency Zhihan Liu Hao Hu Shenao Zhang Hongyi Guo Shuqi Ke Boyi Liu Zhaoran Wang LLMAG LRM 112 38 0 29 Sep 2023
Compositional Foundation Models for Hierarchical Planning Anurag Ajay Seung-Jun Han Yilun Du Shaung Li Abhi Gupta Tommi Jaakkola Josh Tenenbaum L. Kaelbling Akash Srivastava Pulkit Agrawal LRM 61 71 0 15 Sep 2023
The Rise and Potential of Large Language Model Based Agents: A Survey Zhiheng Xi Wenxiang Chen Xin Guo Wei He Yiwen Ding ... Wenjuan Qin Yongyan Zheng Xipeng Qiu Xuanjing Huan Tao Gui LM&MA LM&Ro 3DV AI4CE 102 924 0 14 Sep 2023
Language Reward Modulation for Pretraining Reinforcement Learning Ademi Adeniji Amber Xie Carmelo Sferrazza Younggyo Seo Stephen James Pieter Abbeel 72 29 0 23 Aug 2023
A Survey on Large Language Model based Autonomous Agents Lei Wang Chengbang Ma Xueyang Feng Zeyu Zhang Hao-ran Yang ... Xu Chen Yankai Lin Wayne Xin Zhao Zhewei Wei Ji-Rong Wen LLMAG AI4CE LM&Ro 84 1,265 0 22 Aug 2023
Towards A Unified Agent with Foundation Models Norman Di Palo Arunkumar Byravan Leonard Hasenclever Markus Wulfmeier N. Heess Martin Riedmiller LM&Ro LLMAG OffRL 62 59 0 18 Jul 2023
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks Maxime Chevalier-Boisvert Bolun Dai Mark Towers Rodrigo de Lazcano Lucas Willems Salem Lahlou Suman Pal Pablo Samuel Castro Jordan Terry VGen 85 204 0 24 Jun 2023
Language to Rewards for Robotic Skill Synthesis Wenhao Yu Nimrod Gileadi Chuyuan Fu Sean Kirmani Kuang-Huei Lee ... N. Heess Dorsa Sadigh Jie Tan Yuval Tassa F. Xia LM&Ro 81 279 0 14 Jun 2023
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach Bin-Bin Hu Chenyang Zhao Pushi Zhang Zihao Zhou Yuanhang Yang Zenglin Xu Bin Liu LM&Ro LLMAG 70 22 0 06 Jun 2023
Voyager: An Open-Ended Embodied Agent with Large Language Models Guanzhi Wang Yuqi Xie Yunfan Jiang Ajay Mandlekar Chaowei Xiao Yuke Zhu Linxi Fan Anima Anandkumar LM&Ro SyDa 140 810 0 25 May 2023
Reflexion: Language Agents with Verbal Reinforcement Learning Noah Shinn Federico Cassano Beck Labash A. Gopinath Karthik Narasimhan Shunyu Yao LLMAG KELM 96 1,263 0 20 Mar 2023
Reward Design with Language Models Minae Kwon Sang Michael Xie Kalesha Bullard Dorsa Sadigh LM&Ro 88 214 0 27 Feb 2023
Collaborating with language models for embodied reasoning Ishita Dasgupta Christine Kaeser-Chen Kenneth Marino Arun Ahuja Sheila Babayan Felix Hill Rob Fergus LLMAG LM&Ro LRM 20 68 0 01 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 151 679 0 31 Jan 2023
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 60 30 0 18 Nov 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 98 27 0 28 Sep 2022
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia Jonas W. Mueller Taesup Kim Laurent Charlin Rasool Fakoor CLL 61 9 0 28 May 2022
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments Liyu Chen Haipeng Luo 67 8 0 25 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 799 9,351 0 28 Jan 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 66 15 0 08 Dec 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 132 55 0 01 Oct 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 42 47 0 05 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL OffRL 60 95 0 23 May 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 99 320 0 25 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 93 94 0 17 Dec 2020
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 116 1,160 0 28 Nov 2018
Don't forget, there is more than forgetting: new metrics for Continual Learning Natalia Díaz Rodríguez Vincenzo Lomonaco David Filliat Davide Maltoni CLL 55 162 0 31 Oct 2018
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 105 1,299 0 15 Nov 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 478 19,019 0 20 Jul 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 65 92 0 18 May 2017
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 257 3,721 0 28 Feb 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 354 7,504 0 02 Dec 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 77 2,446 0 15 Jun 2016