Distral: Robust Multitask Reinforcement Learning

13 July 2017

Yee Whye Teh

V. Bapst

Wojciech M. Czarnecki

Papers citing "Distral: Robust Multitask Reinforcement Learning"

50 / 319 papers shown

Title
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization Y. Kadokawa Lingwei Zhu Yoshihisa Tsurumine Takamitsu Matsubara 31 7 0 29 Jul 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks Yijie Guo Qiucheng Wu Honglak Lee OffRL 27 5 0 19 Jul 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 28 1 0 17 Jul 2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL Wei Shi Hanrui Wang Jiaqi Gu Mingjie Liu David Z. Pan Song Han Nan Sun 19 14 0 13 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 29 32 0 11 Jul 2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework Shunyu Liu Kaixuan Chen Na Yu Mingli Song Zunlei Feng Mingli Song 52 1 0 05 Jul 2022
Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia Xuanlin Li Z. Ling Shuang Liu Yiran Wu H. Su OffRL 32 24 0 26 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 141 0 15 Jun 2022
Learning Dynamics and Generalization in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney Marta Z. Kwiatkowska Y. Gal OOD OffRL 30 12 0 05 Jun 2022
Provable General Function Class Representation Learning in Multitask Bandits and MDPs Rui Lu Andrew Zhao S. Du Gao Huang OffRL 37 10 0 31 May 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 49 9 0 28 May 2022
Data augmentation for efficient learning from parametric experts Alexandre Galashov J. Merel N. Heess OffRL 16 5 0 23 May 2022
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 27 0 0 21 May 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 96 182 0 16 May 2022
Learning Multitask Gaussian Bayesian Networks Shuai Liu Yixuan Qiu Baojuan Li Huaning Wang Xiangyu Chang 14 2 0 11 May 2022
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning Xihan Bian Oscar Alejandro Mendez Maldonado Simon Hadfield 32 6 0 06 May 2022
Skill-based Meta-Reinforcement Learning Taewook Nam Shao-Hua Sun Karl Pertsch Sung Ju Hwang Joseph J. Lim OffRL 34 45 0 25 Apr 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney CLL 41 110 0 20 Apr 2022
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data Wenxuan Zhou Steven Bohez Jan Humplik A. Abdolmaleki Dushyant Rao Markus Wulfmeier Tuomas Haarnoja N. Heess OffRL 40 6 0 12 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity Hao Jin Yang Peng Wenhao Yang Shusen Wang Zhihua Zhang 65 68 0 06 Apr 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 43 16 0 29 Mar 2022
Your Policy Regularizer is Secretly an Adversary Rob Brekelmans Tim Genewein Jordi Grau-Moya Grégoire Delétang M. Kunesch Shane Legg Pedro A. Ortega AAML 26 12 0 23 Mar 2022
Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning Qinjie Lin Han Liu B. Sengupta OffRL 32 11 0 14 Mar 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
Robust Policy Learning over Multiple Uncertainty Sets Annie Xie Shagun Sodhani Chelsea Finn Joelle Pineau Amy Zhang OOD OffRL 30 18 0 14 Feb 2022
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent Daoming Lyu Bo Liu Jianshu Chen LRM 33 1 0 01 Feb 2022
Boosting Exploration in Multi-Task Reinforcement Learning using Adversarial Networks Ramnath Kumar T. Deleu Yoshua Bengio 24 0 0 27 Jan 2022
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning Sasha Salter Kristian Hartikainen Walter Goodwin Ingmar Posner OffRL 36 5 0 20 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 41 74 0 11 Jan 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 33 16 0 08 Dec 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 44 50 0 25 Nov 2021
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks Fatemeh Lotfi Omid Semiari Walid Saad 35 27 0 23 Nov 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning Wenlong Huang Igor Mordatch Pieter Abbeel Deepak Pathak 43 63 0 04 Nov 2021
Towards an Understanding of Default Policies in Multitask Policy Optimization Theodore H. Moskovitz Michael Arbel Jack Parker-Holder Aldo Pacchiano 30 9 0 04 Nov 2021
Robot Learning from Randomized Simulations: A Review Fabio Muratore Fabio Ramos Greg Turk Wenhao Yu Michael Gienger Jan Peters AI4CE 18 80 0 01 Nov 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 47 298 0 26 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning Jinxin Liu Hao Shen Donglin Wang Yachen Kang Qiangxing Tian 37 19 0 25 Oct 2021
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning John Harwell Angel Sylvester Aleksi Tukiainen Enrique Munoz de Cote 31 4 0 23 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 41 26 0 13 Oct 2021
Temporal Abstraction in Reinforcement Learning with the Successor Representation Marlos C. Machado André Barreto Doina Precup Michael Bowling 29 40 0 12 Oct 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration Chao Yu Xinyi Yang Jiaxuan Gao Huazhong Yang Yu Wang Yi Wu 26 29 0 12 Oct 2021
Learning a subspace of policies for online adaptation in Reinforcement Learning Jean-Baptiste Gaya Laure Soulier Ludovic Denoyer OffRL 40 15 0 11 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 42 4 0 06 Oct 2021
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations Aishwarya Mandyam Andrew Jones Jiayu Yao K. Laudanski Barbara E. Engelhardt OffRL 29 0 0 06 Oct 2021
ProTo: Program-Guided Transformer for Program-Guided Tasks Zelin Zhao Karan Samel Binghong Chen Le Song ViT LM&Ro 34 30 0 02 Oct 2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences Annie Xie Chelsea Finn OffRL CLL 109 43 0 19 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 Sep 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 38 59 0 09 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 39 3 0 04 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021