OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Accelerating Natural Gradient with Higher-Order Invariance Yang Song Jiaming Song Stefano Ermon 26 21 0 04 Mar 2018
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms Diego Perez-Liebana Jialin Liu Ahmed Khalifa Raluca D. Gaina Julian Togelius Simon Lucas 8 174 0 28 Feb 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 30 126 0 27 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research Matthias Plappert Marcin Andrychowicz Alex Ray Bob McGrew Bowen Baker ... Joshua Tobin Maciek Chociej Peter Welinder Vikash Kumar Wojciech Zaremba 33 557 0 26 Feb 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari P. Chrabaszcz I. Loshchilov Frank Hutter 32 99 0 24 Feb 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 33 45 0 23 Feb 2018
Structured Control Nets for Deep Reinforcement Learning Mario Srouji Jian Zhang Ruslan Salakhutdinov 33 43 0 22 Feb 2018
Clipped Action Policy Gradient Yasuhiro Fujita S. Maeda OffRL 34 37 0 21 Feb 2018
Continual Reinforcement Learning with Complex Synapses Christos Kaplanis Murray Shanahan Claudia Clopath KELM 26 87 0 20 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 45 319 0 12 Feb 2018
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning Hyrum S. Anderson Anant Kharkar Bobby Filar David Evans P. Roth AAML 35 207 0 26 Jan 2018
Reinforcement Learning based Recommender System using Biclustering Technique Sungwoon Choi Heonseok Ha Uiwon Hwang Chanju Kim Jung-Woo Ha Sungroh Yoon OffRL 19 70 0 17 Jan 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes Igor Adamski R. Adamski T. Grel Adam Jedrych Kamil Kaczmarek Henryk Michalewski OffRL 41 37 0 09 Jan 2018
Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors Benjamin Spector Serge J. Belongie OffRL 14 15 0 07 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 56 1,105 0 02 Jan 2018
ES Is More Than Just a Traditional Finite-Difference Approximator Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 25 89 0 18 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 47 686 0 18 Dec 2017
Deep Primal-Dual Reinforcement Learning: Accelerating Actor-Critic using Bellman Duality W. Cho Mengdi Wang OffRL 33 14 0 07 Dec 2017
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence Lianmin Zheng Jiacheng Yang Han Cai Weinan Zhang Jun Wang Yong Yu 21 205 0 02 Dec 2017
Time Limits in Reinforcement Learning Fabio Pardo Arash Tavakoli Vitaly Levdik Petar Kormushev CLL 44 158 0 01 Dec 2017
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 38 10 0 30 Nov 2017
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control Shangtong Zhang Osmar R. Zaiane 33 10 0 30 Nov 2017
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 45 125 0 27 Nov 2017
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 22 260 0 24 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 56 300 0 31 Oct 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
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 31 14 0 24 Oct 2017
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces Garrett A. Warnell Nicholas R. Waytowich Vernon J. Lawhern Peter Stone 13 267 0 28 Sep 2017
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning Kunal Menda Katherine Driggs-Campbell Mykel J. Kochenderfer 32 28 0 18 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 37 544 0 18 Sep 2017
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 30 555 0 14 Sep 2017
Mean Actor Critic Cameron Allen Kavosh Asadi Melrose Roderick Abdel-rahman Mohamed George Konidaris Michael Littman 25 44 0 01 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu Elman Mansimov Shun Liao Roger C. Grosse Jimmy Ba OffRL 22 622 0 17 Aug 2017
OpenML Benchmarking Suites B. Bischl Giuseppe Casalicchio Matthias Feurer Pieter Gijsbers Frank Hutter Michel Lang R. G. Mantovani Jan N. van Rijn Joaquin Vanschoren VLM ELM 41 152 0 11 Aug 2017
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning Felix Leibfried Jordi Grau-Moya Haitham Bou-Ammar 38 24 0 06 Aug 2017
Mutual Alignment Transfer Learning Markus Wulfmeier Ingmar Posner Pieter Abbeel 16 60 0 25 Jul 2017
RAIL: Risk-Averse Imitation Learning Anirban Santara A. Naik Balaraman Ravindran Dipankar Das Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 30 18 0 20 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 84 18,385 0 20 Jul 2017
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games Yuandong Tian Qucheng Gong Wenling Shang Yuxin Wu C. L. Zitnick OffRL 27 126 0 04 Jul 2017
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning Nick Erickson Qi Zhao CLL OffRL 222 2 0 19 Jun 2017
Reinforcement Learning under Model Mismatch Aurko Roy Huan Xu Sebastian Pokutta OOD 24 80 0 15 Jun 2017
Symmetry Learning for Function Approximation in Reinforcement Learning Anuj Mahajan Theja Tulabandhula 22 31 0 09 Jun 2017
Fine-grained acceleration control for autonomous intersection management using deep reinforcement learning H. Mirzaei T. Givargis 19 8 0 30 May 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 24 91 0 18 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 69 2,401 0 15 May 2017
Beating Atari with Natural Language Guided Reinforcement Learning Russell Kaplan Chris Sauer A. Sosa LM&Ro 19 69 0 18 Apr 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar Karol Hausman Marvin Zhang Gaurav Sukhatme S. Schaal Sergey Levine 37 159 0 08 Mar 2017
Deep Robust Kalman Filter Shirli Di-Castro Shashua Shie Mannor BDL 30 28 0 07 Mar 2017
Reinforcement Learning for Pivoting Task Rika Antonova S. Cruciani Christian Smith Danica Kragic 10 68 0 01 Mar 2017