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
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains Elliot Meyerson Risto Miikkulainen OOD 22 30 0 31 May 2019
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework M. Nazari Majid Jahani L. Snyder Martin Takáč OffRL OnRL 21 1 0 30 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 35 127 0 15 May 2019
Continual and Multi-task Reinforcement Learning With Shared Episodic Memory A. Sorokin Andrey Kravchenko KELM CLL 19 4 0 07 May 2019
Information asymmetry in KL-regularized RL Alexandre Galashov Siddhant M. Jayakumar Leonard Hasenclever Dhruva Tirumala Jonathan Richard Schwarz Guillaume Desjardins Wojciech M. Czarnecki Yee Whye Teh Razvan Pascanu N. Heess OffRL 22 102 0 03 May 2019
Knowledge Flow: Improve Upon Your Teachers Iou-Jen Liu Jian-wei Peng Alex Schwing 16 62 0 11 Apr 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 45 24 0 11 Apr 2019
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning Han Guo Ramakanth Pasunuru Joey Tianyi Zhou 25 47 0 08 Apr 2019
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees Thomas W. Anthony Robert Nishihara Philipp Moritz Tim Salimans John Schulman 37 30 0 07 Apr 2019
Synthesized Policies for Transfer and Adaptation across Tasks and Environments Hexiang Hu Liyu Chen Boqing Gong Fei Sha 19 9 0 05 Apr 2019
Multitask Soft Option Learning Maximilian Igl Andrew Gambardella Jinke He Nantas Nardelli N. Siddharth Wendelin Bohmer Shimon Whiteson 30 26 0 01 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 19 57 0 01 Apr 2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL Dhruva Tirumala Hyeonwoo Noh Alexandre Galashov Leonard Hasenclever Arun Ahuja Greg Wayne Razvan Pascanu Yee Whye Teh N. Heess OffRL 19 45 0 18 Mar 2019
Model Primitive Hierarchical Lifelong Reinforcement Learning Bohan Wu Jayesh K. Gupta Mykel J. Kochenderfer OffRL 22 10 0 04 Mar 2019
Overcoming Multi-Model Forgetting Yassine Benyahia Kaicheng Yu Kamil Bennani-Smires Martin Jaggi A. Davison Mathieu Salzmann C. Musat MoMe KELM CLL 35 37 0 21 Feb 2019
Distilling Policy Distillation Wojciech M. Czarnecki Razvan Pascanu Simon Osindero Siddhant M. Jayakumar G. Swirszcz Max Jaderberg 24 132 0 06 Feb 2019
Policy Consolidation for Continual Reinforcement Learning Christos Kaplanis Murray Shanahan Claudia Clopath CLL OffRL 27 50 0 01 Feb 2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel D. Mankowitz Augustin Žídek Rémi Munos OffRL 43 161 0 30 Jan 2019
InfoBot: Transfer and Exploration via the Information Bottleneck Anirudh Goyal Riashat Islam Daniel Strouse Zafarali Ahmed M. Botvinick Hugo Larochelle Yoshua Bengio Sergey Levine OffRL 6 166 0 30 Jan 2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning Chao Qu Shie Mannor Huan Xu Yuan Qi Le Song Junwu Xiong 19 44 0 27 Jan 2019
Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning G. V. D. L. Cruz Yunshu Du Matthew E. Taylor OffRL 16 26 0 21 Dec 2018
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 28 114 0 18 Dec 2018
Scaling shared model governance via model splitting Miljan Martic Jan Leike Andrew Trask Matteo Hessel Shane Legg Pushmeet Kohli FedML 25 2 0 14 Dec 2018
Adapting Auxiliary Losses Using Gradient Similarity Yunshu Du Wojciech M. Czarnecki Siddhant M. Jayakumar Mehrdad Farajtabar Razvan Pascanu Balaji Lakshminarayanan 35 156 0 05 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 88 1,236 0 30 Nov 2018
Neural probabilistic motor primitives for humanoid control J. Merel Leonard Hasenclever Alexandre Galashov Arun Ahuja Vu Pham Greg Wayne Yee Whye Teh N. Heess 29 156 0 28 Nov 2018
Connecting the Dots Between MLE and RL for Sequence Prediction Bowen Tan Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing 28 24 0 24 Nov 2018
Learning Shared Dynamics with Meta-World Models Lisheng Wu Minne Li Jun Wang 20 0 0 05 Nov 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 33 39 0 15 Oct 2018
SFV: Reinforcement Learning of Physical Skills from Videos Xue Bin Peng Angjoo Kanazawa Jitendra Malik Pieter Abbeel Sergey Levine 24 65 0 08 Oct 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 32 30 0 04 Oct 2018
Reinforcement Learning with Perturbed Rewards Jingkang Wang Yang Liu Bo Li NoLa 30 127 0 02 Oct 2018
Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules Michalis K. Titsias Sotirios Nikoloutsopoulos BDL OffRL 18 3 0 30 Sep 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 36 204 0 29 Sep 2018
Multi-task Deep Reinforcement Learning with PopArt Matteo Hessel Hubert Soyer L. Espeholt Wojciech M. Czarnecki Simon Schmitt H. V. Hasselt 22 315 0 12 Sep 2018
Improving On-policy Learning with Statistical Reward Accumulation Yubin Deng K. Yu Dahua Lin Xiaoou Tang Chen Change Loy OffRL 24 0 0 07 Sep 2018
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning Hugo Caselles-Dupré Louis Annabi Oksana Hagen Michael Garcia Ortiz David Filliat 27 13 0 03 Sep 2018
Learning to Share and Hide Intentions using Information Regularization D. Strouse Max Kleiman-Weiner J. Tenenbaum M. Botvinick D. Schwab 14 60 0 06 Aug 2018
Learning Actionable Representations from Visual Observations Debidatta Dwibedi Jonathan Tompson Corey Lynch P. Sermanet SSL 22 80 0 02 Aug 2018
Many-Goals Reinforcement Learning Vivek Veeriah Junhyuk Oh Satinder Singh KELM 29 53 0 22 Jun 2018
Mix&Match - Agent Curricula for Reinforcement Learning Wojciech M. Czarnecki Siddhant M. Jayakumar Max Jaderberg Leonard Hasenclever Yee Whye Teh Simon Osindero N. Heess Razvan Pascanu 8 71 0 05 Jun 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization Hoi-To Wai Zhuoran Yang Zhaoran Wang Mingyi Hong 30 169 0 03 Jun 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 44 872 0 16 May 2018
A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions Ali el Hassouni Mark Hoogendoorn M. V. Otterlo A. E. Eiben Vesa Muhonen E. Barbaro OffRL 25 20 0 10 Apr 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 177 495 0 08 Apr 2018
Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour 15 1 0 13 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 25 45 0 11 Mar 2018
Kickstarting Deep Reinforcement Learning Simon Schmitt Jonathan J. Hudson Augustin Žídek Simon Osindero Carl Doersch ... Joel Z. Leibo Heinrich Küttler Andrew Zisserman Karen Simonyan S. M. Ali Eslami OnRL 27 131 0 10 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks J. Liang Elliot Meyerson Risto Miikkulainen 39 120 0 10 Mar 2018