OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

27 / 1,677 papers shown

Title
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 55 555 0 14 Sep 2017
Mean Actor Critic Cameron Allen Kavosh Asadi Melrose Roderick Abdel-rahman Mohamed George Konidaris Michael Littman 36 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 22 623 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 43 152 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 103 18,407 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 249 2 0 19 Jun 2017
Expected Policy Gradients K. Ciosek Shimon Whiteson 33 57 0 15 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
Parameter Space Noise for Exploration Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz 31 593 0 06 Jun 2017
Fine-grained acceleration control for autonomous intersection management using deep reinforcement learning H. Mirzaei T. Givargis 27 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 78 2,401 0 15 May 2017
Beating Atari with Natural Language Guided Reinforcement Learning Russell Kaplan Chris Sauer A. Sosa LM&Ro 27 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 38 28 0 07 Mar 2017
Reinforcement Learning for Pivoting Task Rika Antonova S. Cruciani Christian Smith Danica Kragic 18 68 0 01 Mar 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 23 10 0 26 Feb 2017
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model Paul Christiano Zain Shah Igor Mordatch Jonas Schneider T. Blackwell Joshua Tobin Pieter Abbeel Wojciech Zaremba PINN 32 248 0 11 Oct 2016
Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo I. Zamora N. G. Lopez Víctor Mayoral-Vilches A. Cordero GP 18 159 0 19 Aug 2016
Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay Ionel-Alexandru Hosu Traian Rebedea 35 97 0 18 Jul 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 19 3,073 0 10 Jun 2016