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
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning Adam Stooke Valentin Dalibard Siddhant M. Jayakumar Wojciech M. Czarnecki Max Jaderberg 22 1 0 26 Jun 2020
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch Michael Wan Tanmay Gangwani Jian-wei Peng 36 19 0 12 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 27 85 0 10 Jun 2020
Dual Policy Distillation Kwei-Herng Lai Daochen Zha Yuening Li Xia Hu OffRL 20 9 0 07 Jun 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 40 243 0 15 May 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 26 74 0 15 May 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization Pierre-Alexandre Kamienny Matteo Pirotta A. Lazaric Thibault Lavril Nicolas Usunier Ludovic Denoyer 14 19 0 06 May 2020
Evolutionary Stochastic Policy Distillation Hao Sun Xinyu Pan Bo Dai Dahua Lin Bolei Zhou 32 1 0 27 Apr 2020
Zero-Shot Compositional Policy Learning via Language Grounding Tianshi Cao Jingkang Wang Yining Zhang S. Manivasagam LM&Ro 34 1 0 15 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 27 177 0 30 Mar 2020
Invariant Causal Prediction for Block MDPs Amy Zhang Clare Lyle Shagun Sodhani Angelos Filos Marta Z. Kwiatkowska Joelle Pineau Y. Gal Doina Precup OffRL AI4CE OOD 37 139 0 12 Mar 2020
Learning Discrete State Abstractions With Deep Variational Inference Ondrej Biza Robert Platt Jan-Willem van de Meent Lawson L. S. Wong BDL 18 12 0 09 Mar 2020
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation Xinze Wang Vihan Jain Eugene Ie William Yang Wang Zornitsa Kozareva Sujith Ravi LM&Ro 43 63 0 01 Mar 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 18 86 0 25 Feb 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning Noah Y. Siegel Jost Tobias Springenberg Felix Berkenkamp A. Abdolmaleki Michael Neunert Thomas Lampe Roland Hafner Nicolas Heess Martin Riedmiller OffRL 22 282 0 19 Feb 2020
Self-Distillation Amplifies Regularization in Hilbert Space H. Mobahi Mehrdad Farajtabar Peter L. Bartlett 40 229 0 13 Feb 2020
Learning State Abstractions for Transfer in Continuous Control Kavosh Asadi David Abel Michael L. Littman OffRL 30 7 0 08 Feb 2020
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning Zhang-Wei Hong P. Nagarajan Guilherme J. Maeda OffRL 23 4 0 01 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 41 1,175 0 19 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 24 38 0 09 Jan 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation Letian Chen Rohan R. Paleja Muyleng Ghuy Matthew C. Gombolay 27 38 0 02 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
Zero-shot generalization using cascaded system-representations A. Malik OffRL 22 2 0 11 Dec 2019
12-in-1: Multi-Task Vision and Language Representation Learning Jiasen Lu Vedanuj Goswami Marcus Rohrbach Devi Parikh Stefan Lee VLM ObjD 40 476 0 05 Dec 2019
Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning Gang Chen 25 4 0 24 Nov 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification Uchenna Akujuobi Yufei Han Qiannan Zhang Xiangliang Zhang 25 16 0 22 Oct 2019
A Neural Entity Coreference Resolution Review Nikolaos Stylianou I. Vlahavas 26 38 0 21 Oct 2019
Regularization Matters in Policy Optimization Zhuang Liu Xuanlin Li Bingyi Kang Trevor Darrell OffRL 28 33 0 21 Oct 2019
Multi-View Reinforcement Learning Minne Li Lisheng Wu Haitham Bou-Ammar Jun Wang 21 26 0 18 Oct 2019
Actor Critic with Differentially Private Critic Jonathan Lebensold William L. Hamilton Borja Balle Doina Precup OffRL 25 9 0 14 Oct 2019
Ctrl-Z: Recovering from Instability in Reinforcement Learning Vibhavari Dasagi Jake Bruce T. Peynot Jurgen Leitner 25 10 0 09 Oct 2019
Recurrent Independent Mechanisms Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf 42 334 0 24 Sep 2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games Macheng Shen Jonathan P. How AAML 29 19 0 18 Sep 2019
Rewarding Coreference Resolvers for Being Consistent with World Knowledge Rahul Aralikatte Heather Lent Ana Valeria González Daniel Hershcovich Chen Qiu Anders Sandholm Michael Ringaard Anders Søgaard 27 16 0 05 Sep 2019
Learning Action-Transferable Policy with Action Embedding Yu Chen Yingfeng Chen Zhipeng Hu Tianpei Yang Changjie Fan Yang Yu Jianye Hao 24 0 0 05 Sep 2019
Universal Policies to Learn Them All Hassam Sheikh Ladislau Bölöni OffRL 21 1 0 24 Aug 2019
Learning to Explore in Motion and Interaction Tasks Miroslav Bogdanovic Ludovic Righetti 9 1 0 10 Aug 2019
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL Nirbhay Modhe Prithvijit Chattopadhyay Mohit Sharma Abhishek Das Devi Parikh Dhruv Batra Ramakrishna Vedantam 9 1 0 24 Jul 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning Johan Ferret Raphaël Marinier M. Geist Olivier Pietquin OffRL 29 6 0 18 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 32 60 0 11 Jul 2019
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning Nicholas C. Landolfi G. Thomas Tengyu Ma OffRL 8 19 0 11 Jul 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding Kevin Clark Minh-Thang Luong Urvashi Khandelwal Christopher D. Manning Quoc V. Le 30 228 0 10 Jul 2019
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 25 18 0 05 Jul 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 30 27 0 26 Jun 2019
Disentangled Skill Embeddings for Reinforcement Learning Janith C. Petangoda Sergio Pascual-Diaz Vincent Adam Peter Vrancx Jordi Grau-Moya DRL OffRL 29 15 0 21 Jun 2019
Better transfer learning with inferred successor maps T. Madarász 25 21 0 18 Jun 2019
Robust Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz Nir Levine Rae Jeong Yuanyuan Shi Jackie Kay A. Abdolmaleki Jost Tobias Springenberg Timothy A. Mann Todd Hester Martin Riedmiller OOD 14 118 0 18 Jun 2019
Unified Semantic Parsing with Weak Supervision Priyanka Agrawal Parag Jain Ayushi Dalmia Abhishek Bansal Ashish R. Mittal Karthik Sankaranarayanan 36 10 0 12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 28 44 0 11 Jun 2019
Transfer Learning by Modeling a Distribution over Policies Disha Shrivastava Eeshan Gunesh Dhekane Riashat Islam OOD OffRL 14 0 0 09 Jun 2019