OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 30 225 0 14 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 25 37 0 10 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 39 808 0 07 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 52 920 0 04 Sep 2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation Zhiting Hu Haoran Shi Bowen Tan Wentao Wang Zichao Yang ... Zhengzhong Liu Xiaodan Liang Wangrong Zhu Devendra Singh Sachan Eric Xing VLM 25 56 0 04 Sep 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 23 41 0 28 Aug 2018
SOTER: A Runtime Assurance Framework for Programming Safe Robotics Systems Ankush Desai Shromona Ghosh S. Seshia N. Shankar A. Tiwari 17 12 0 23 Aug 2018
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware A. Samajdar Parth Mannan K. Garg T. Krishna 32 20 0 03 Aug 2018
Learning Actionable Representations from Visual Observations Debidatta Dwibedi Jonathan Tompson Corey Lynch P. Sermanet SSL 22 80 0 02 Aug 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 47 1,857 0 01 Aug 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat Anssi Kanervisto Ville Hautamaki 26 2 0 26 Jul 2018
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 24 99 0 24 Jul 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning W. Drozd Michael D. Wagner 33 32 0 19 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang S. Sarkar AAML 18 43 0 16 Jul 2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees Guiliang Liu Oliver Schulte Wang Zhu Qingcan Li AI4CE 17 135 0 16 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 41 95 0 06 Jul 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 33 177 0 20 Jun 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 30 213 0 20 Jun 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J. Matas Stephen James Andrew J. Davison AI4CE 29 357 0 20 Jun 2018
VirtualHome: Simulating Household Activities via Programs Xavier Puig K. Ra Marko Boben Jiaman Li Tingwu Wang Sanja Fidler Antonio Torralba LM&Ro 30 478 0 19 Jun 2018
Laplacian Smoothing Gradient Descent Stanley Osher Bao Wang Penghang Yin Xiyang Luo Farzin Barekat Minh Pham A. Lin ODL 22 43 0 17 Jun 2018
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network Wenjia Meng Qian Zheng L. Yang Pengfei Li Gang Pan 20 21 0 14 Jun 2018
Accelerating Imitation Learning with Predictive Models Ching-An Cheng Xinyan Yan Evangelos A. Theodorou Byron Boots 32 21 0 12 Jun 2018
Re-evaluating Evaluation David Balduzzi K. Tuyls Julien Perolat T. Graepel MoMe 30 97 0 07 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 215 887 0 07 Jun 2018
Human-like generalization in a machine through predicate learning L. Doumas Guillermo Puebla Andrea E. Martin NAI 33 9 0 05 Jun 2018
BindsNET: A machine learning-oriented spiking neural networks library in Python Hananel Hazan D. J. Saunders Hassaan Khan Darpan T. Sanghavi H. Siegelmann R. Kozma AI4CE 30 229 0 04 Jun 2018
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies Nils Müller Tobias Glasmachers 33 28 0 04 Jun 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 329 47 1 31 May 2018
Supervised Policy Update for Deep Reinforcement Learning Q. Vuong Yiming Zhang Keith Ross 19 20 0 29 May 2018
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning Wen Sun J. Andrew Bagnell Byron Boots 28 93 0 29 May 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 32 18 0 27 May 2018
Fast Policy Learning through Imitation and Reinforcement Ching-An Cheng Xinyan Yan Nolan Wagener Byron Boots 26 83 0 26 May 2018
A0C: Alpha Zero in Continuous Action Space Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker 16 48 0 24 May 2018
Intelligent Trainer for Model-Based Reinforcement Learning Yuanlong Li Linsen Dong Xin Zhou Yonggang Wen K. Guan OffRL 24 0 0 24 May 2018
Representation Balancing MDPs for Off-Policy Policy Evaluation Yao Liu Omer Gottesman Aniruddh Raghu Matthieu Komorowski A. Faisal Finale Doshi-Velez Emma Brunskill OffRL 11 75 0 23 May 2018
A General Family of Robust Stochastic Operators for Reinforcement Learning Yingdong Lu M. Squillante C. Wu 12 3 0 21 May 2018
Leveraging human knowledge in tabular reinforcement learning: A study of human subjects Ariel Rosenfeld Moshe Cohen Matthew E. Taylor Sarit Kraus OffRL 6 31 0 15 May 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 25 51 0 11 May 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning Joshua Romoff Peter Henderson Alexandre Piché Vincent François-Lavet Joelle Pineau 11 42 0 09 May 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 46 710 0 04 May 2018
Exploration by Distributional Reinforcement Learning Yunhao Tang Shipra Agrawal OOD 41 30 0 04 May 2018
Measuring the Intrinsic Dimension of Objective Landscapes Chunyuan Li Heerad Farkhoor Rosanne Liu J. Yosinski 38 401 0 24 Apr 2018
Benchmarking projective simulation in navigation problems A. Melnikov A. Makmal H. Briegel 16 19 0 23 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 15 177 0 10 Apr 2018
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning L. Kidzinski Sharada Mohanty Carmichael F. Ong Jennifer Hicks Sean F. Carroll Sergey Levine M. Salathé Scott L. Delp 34 60 0 31 Mar 2018
Safe end-to-end imitation learning for model predictive control Keuntaek Lee Kamil Saigol Evangelos A. Theodorou BDL 24 24 0 27 Mar 2018
World Models David R Ha Jürgen Schmidhuber SyDa 50 1,036 0 27 Mar 2018
Setting up a Reinforcement Learning Task with a Real-World Robot A. R. Mahmood D. Korenkevych Brent Komer James Bergstra 26 75 0 19 Mar 2018
Learning to Sequence Robot Behaviors for Visual Navigation Hadi Salman Puneet Singhal Tanmay Shankar Peng Yin A. Salman William Paivine Guillaume Sartoretti Matthew Travers Howie Choset 20 8 0 05 Mar 2018