Diversity is All You Need: Learning Skills without a Reward Function

Diversity is All You Need: Learning Skills without a Reward Function

16 February 2018

Benjamin Eysenbach

Abhishek Gupta

Papers citing "Diversity is All You Need: Learning Skills without a Reward Function"

19 / 269 papers shown

Title
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 30 257 0 09 Apr 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 36 269 0 08 Mar 2019
Discovering Options for Exploration by Minimizing Cover Time Yuu Jinnai Jee Won Park David Abel George Konidaris 30 52 0 02 Mar 2019
The Termination Critic Anna Harutyunyan Will Dabney Diana Borsa N. Heess Rémi Munos Doina Precup OffRL 24 48 0 26 Feb 2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning Kyungjae Lee Sungyub Kim Sungbin Lim Sungjoon Choi Songhwai Oh 21 28 0 31 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 40 26 0 28 Jan 2019
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution G. Lee Chang Ouk Kim 18 4 0 17 Jan 2019
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 41 173 0 28 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi Yijie Guo Marcin Moczulski Junhyuk Oh Neal Wu Mohammad Norouzi Honglak Lee 21 73 0 05 Nov 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 30 178 0 29 Oct 2018
Finding Options that Minimize Planning Time Yuu Jinnai David Abel D Ellis Hershkowitz Michael Littman George Konidaris 19 41 0 16 Oct 2018
Policy Transfer with Strategy Optimization Wenhao Yu Chenxi Liu Greg Turk 38 80 0 12 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 17 267 0 04 Oct 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat Anssi Kanervisto Ville Hautamaki 26 2 0 26 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 43 535 0 12 Jul 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 29 65 0 25 May 2018
Do deep reinforcement learning agents model intentions? Tambet Matiisen Aqeel Labash Daniel Majoral Jaan Aru Raul Vicente AI4CE 6 5 0 15 May 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 93 1,657 0 30 Mar 2018