Distral: Robust Multitask Reinforcement Learning

13 July 2017

Yee Whye Teh

V. Bapst

Wojciech M. Czarnecki

Papers citing "Distral: Robust Multitask Reinforcement Learning"

26 / 126 papers shown

Title
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
BAM! Born-Again Multi-Task Networks for Natural Language Understanding Kevin Clark Minh-Thang Luong Urvashi Khandelwal Christopher D. Manning Quoc V. Le 19 228 0 10 Jul 2019
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 15 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 14 27 0 26 Jun 2019
Unified Semantic Parsing with Weak Supervision Priyanka Agrawal Parag Jain Ayushi Dalmia Abhishek Bansal Ashish R. Mittal Karthik Sankaranarayanan 33 10 0 12 Jun 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 29 127 0 15 May 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 42 24 0 11 Apr 2019
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees Thomas W. Anthony Robert Nishihara Philipp Moritz Tim Salimans John Schulman 20 30 0 07 Apr 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
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 31 161 0 30 Jan 2019
Adapting Auxiliary Losses Using Gradient Similarity Yunshu Du Wojciech M. Czarnecki Siddhant M. Jayakumar Mehrdad Farajtabar Razvan Pascanu Balaji Lakshminarayanan 35 155 0 05 Dec 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 22 39 0 15 Oct 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu H. M. Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric P. Xing 24 30 0 04 Oct 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 25 203 0 29 Sep 2018
Learning Actionable Representations from Visual Observations Debidatta Dwibedi Jonathan Tompson Corey Lynch P. Sermanet SSL 22 80 0 02 Aug 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization Hoi-To Wai Zhuoran Yang Zhaoran Wang Mingyi Hong 27 169 0 03 Jun 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 25 45 0 11 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks J. Liang Elliot Meyerson Risto Miikkulainen 39 120 0 10 Mar 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kaipeng Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 37 582 0 23 Feb 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care Patrick Schwab E. Keller C. Muroi David J. Mack C. Strässle W. Karlen 21 23 0 14 Feb 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control Glen Berseth Kevin Xie Paul Cernek M. van de Panne 23 56 0 13 Feb 2018
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 32 124 0 27 Nov 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory Ron Amit Ron Meir BDL MLT 32 173 0 03 Nov 2017
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning Sergio Valcarcel Macua Aleksi Tukiainen D. Hernández David Baldazo Enrique Munoz de Cote S. Zazo 32 29 0 28 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 35 2,774 0 19 Aug 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017