ProMP: Proximal Meta-Policy Search

16 October 2018

Pieter Abbeel

Papers citing "ProMP: Proximal Meta-Policy Search"

50 / 53 papers shown

Title
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 101 1 0 04 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 86 9 0 28 Jan 2025
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 72 2 0 07 Jun 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate Fan Luo Zuolin Tu Zefang Huang Yang Yu OffRL 36 0 0 24 May 2024
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining Licong Lin Yu Bai Song Mei OffRL 32 43 0 12 Oct 2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation Satoshi Yamamori Jun Morimoto 26 0 0 31 Aug 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes Taha Toghani Sebastian Perez-Salazar César A. Uribe 29 2 0 20 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya-Qin Zhang Dacheng Tao OffRL 28 14 0 16 May 2023
Meta-Reinforcement Learning via Exploratory Task Clustering Zhendong Chu Hongning Wang OffRL 21 5 0 15 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Generalizing Gaussian Smoothing for Random Search Katelyn Gao Ozan Sener 24 14 0 27 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 40 7 0 14 Nov 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 30 4 0 24 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 29 14 0 06 Oct 2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments Desik Rengarajan Sapana Chaudhary JaeWon Kim D. Kalathil S. Shakkottai OffRL 21 2 0 26 Sep 2022
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients Risto Vuorio Jacob Beck Shimon Whiteson Jakob N. Foerster Gregory Farquhar 19 8 0 22 Sep 2022
Meta Reinforcement Learning with Successor Feature Based Context Xu Han Feng Wu OffRL LRM 28 3 0 29 Jul 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 40 3 0 25 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 44 101 0 19 Jun 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning Yuanpei Chen Tianhao Wu Shengjie Wang Xidong Feng Jiechuan Jiang ... Yiran Geng Hao Dong Zongqing Lu Song-Chun Zhu Yaodong Yang OffRL 38 108 0 17 Jun 2022
Transformers are Meta-Reinforcement Learners L. Melo OffRL 41 50 0 14 Jun 2022
Dynamic Channel Access via Meta-Reinforcement Learning Ziyang Lu M. C. Gursoy 13 4 0 24 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 21 18 0 02 Dec 2021
Context Meta-Reinforcement Learning via Neuromodulation Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 38 12 0 30 Oct 2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan Jian-wei Peng Tanmay Gangwani 28 7 0 18 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 21 80 0 01 Sep 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 32 66 0 08 Jul 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 37 27 0 06 Jun 2021
Adaptive Adversarial Training for Meta Reinforcement Learning Shiqi Chen Zhengyu Chen Donglin Wang 30 6 0 27 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 270 0 16 Apr 2021
Connecting Context-specific Adaptation in Humans to Meta-learning Rachit Dubey Erin Grant Michael Luo Karthik Narasimhan Thomas L. Griffiths 24 4 0 27 Nov 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 29 16 0 03 Nov 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 32 36 0 26 Oct 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning Haotian Fu Hongyao Tang Jianye Hao Cheng Chen Xidong Feng Dong Li Wulong Liu OffRL 27 51 0 29 Sep 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 33 103 0 13 Aug 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang Shagun Sodhani Khimya Khetarpal Joelle Pineau 31 5 0 14 Jul 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 26 34 0 19 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 32 41 0 12 Jun 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 43 139 0 30 Apr 2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems Eseoghene Ben-Iwhiwhu Pawel Ladosz Jeffery Dick Wen‐Hua Chen Praveen K. Pilly Andrea Soltoggio 27 9 0 27 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 46 1,928 0 11 Apr 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 112 79 0 02 Mar 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 14 49 0 18 Feb 2020
How Should an Agent Practice? Janarthanan Rajendran Richard L. Lewis Vivek Veeriah Honglak Lee Satinder Singh 23 9 0 15 Dec 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 30 219 0 30 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 51 1,126 0 24 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 6 272 0 18 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 17 145 0 30 Sep 2019