Go-Explore: a New Approach for Hard-Exploration Problems

30 January 2019

Jeff Clune

Papers citing "Go-Explore: a New Approach for Hard-Exploration Problems"

20 / 70 papers shown

Title
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 89 771 0 15 Nov 2016
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear Zachary Chase Lipton Kamyar Azizzadenesheli Jianfeng Gao Lihong Li Jianshu Chen Li Deng 77 34 0 03 Nov 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 212 2,383 0 21 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 131 3,105 0 10 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 167 1,477 0 06 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 214 5,075 0 05 Jun 2016
Learning values across many orders of magnitude H. V. Hasselt A. Guez Matteo Hessel Volodymyr Mnih David Silver 52 170 0 24 Feb 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 121 1,307 0 15 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,850 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 214 3,787 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 161 7,635 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,234 0 09 Sep 2015
Massively Parallel Methods for Deep Reinforcement Learning Arun Nair Praveen Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon ... Stig Petersen Shane Legg Volodymyr Mnih Koray Kavukcuoglu David Silver OffRL AI4CE GNN 89 503 0 15 Jul 2015
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models Bradly C. Stadie Sergey Levine Pieter Abbeel 89 505 0 03 Jul 2015
Illuminating search spaces by mapping elites Jean-Baptiste Mouret Jeff Clune 74 734 0 20 Apr 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 308 3,434 0 02 Apr 2015
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 85 1,036 0 13 Jul 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 109 3,004 0 19 Jul 2012
Roulette-wheel selection via stochastic acceptance A. Lipowski Dorota Lipowska 102 706 0 16 Sep 2011