OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 98 124 0 17 Nov 2019
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance Mingxuan Jing Xiaojian Ma Wenbing Huang F. Sun Chao Yang Bin Fang Huaping Liu 78 60 0 16 Nov 2019
On Value Discrepancy of Imitation Learning Tian Xu Ziniu Li Yang Yu 46 5 0 16 Nov 2019
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 80 154 0 15 Nov 2019
Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization Eivind Bøhn E. M. Coates Signe Moe T. Johansen 70 130 0 13 Nov 2019
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation Shangtong Zhang Bo Liu Hengshuai Yao Shimon Whiteson OffRL 140 8 0 11 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 92 145 0 11 Nov 2019
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy Xinghua Qu Zhu Sun Yew-Soon Ong Abhishek Gupta Pengfei Wei AAML OffRL 104 35 0 10 Nov 2019
Learning to reinforcement learn for Neural Architecture Search J. Gomez Joaquin Vanschoren 80 8 0 09 Nov 2019
Robo-PlaNet: Learning to Poke in a Day Maxime Chevalier-Boisvert Guillaume Alain Florian Golemo Derek Nowrouzezahrai 36 2 0 09 Nov 2019
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning Matthew Benatan Edward O. Pyzer-Knapp BDL 56 6 0 08 Nov 2019
$$H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee$ $H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee Minghao Han Yuan Tian Lixian Zhang Jun Wang Wei Pan 70 26 0 07 Nov 2019
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 91 251 0 06 Nov 2019
Experience Sharing Between Cooperative Reinforcement Learning Agents Lucas O. Souza G. Ramos C. Ralha 49 9 0 06 Nov 2019
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning Diego Ferigo Silvio Traversaro Giorgio Metta Daniele Pucci 74 26 0 05 Nov 2019
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan" J. Amundson J. Annis Camille Avestruz D. Bowring J. Caldeira ... N. Tran S. Trivedi L. Trouille W. L. K. Wu C. Bom 64 11 0 05 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Bharathan Balaji S. Mallya Sahika Genc Saurabh Gupta Leo Dirac ... Yunzhe Tao Brian Townsend E. Calleja Sunil Muralidhara Dhanasekar Karuppasamy 75 57 0 05 Nov 2019
Online Robustness Training for Deep Reinforcement Learning Marc Fischer M. Mirman Steven Stalder Martin Vechev OnRL 102 41 0 03 Nov 2019
Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning Andrew Cohen Lei Yu Xingye Qiao Xiangrong Tong 31 1 0 03 Nov 2019
Generalized Mean Estimation in Monte-Carlo Tree Search Tuan Dam Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen 45 7 0 01 Nov 2019
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames Erik Wijmans Abhishek Kadian Ari S. Morcos Stefan Lee Irfan Essa Devi Parikh Manolis Savva Dhruv Batra 97 484 0 01 Nov 2019
Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning K. Kobayashi Takato Horii R. Iwaki Y. Nagai Minoru Asada 35 7 0 01 Nov 2019
Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX Yi-Wei Huang Tzu-Kuan Chuang Ni-Ching Lin Yu-Chieh Hsiao Pin-Wei Chen ... Sin-Kiat Lim K. Lua Chia-Hung Dylan Tsai Chi-Fang Chen Hsueh-Cheng Wang 30 6 0 31 Oct 2019
Dynamic Cloth Manipulation with Deep Reinforcement Learning Rishabh Jangir Guillem Alenyà Carme Torras AI4CE 84 101 0 31 Oct 2019
Hierarchical Expert Networks for Meta-Learning Heinke Hihn Daniel A. Braun 100 4 0 31 Oct 2019
RBED: Reward Based Epsilon Decay A. Maroti 41 13 0 30 Oct 2019
Learning to Manipulate Deformable Objects without Demonstrations Yilin Wu Wilson Yan Thanard Kurutach Lerrel Pinto Pieter Abbeel OffRL 74 202 0 29 Oct 2019
Deep Decentralized Reinforcement Learning for Cooperative Control Florian Köpf Samuel Tesfazgi M. Flad Sören Hohmann 86 2 0 29 Oct 2019
Certified Adversarial Robustness for Deep Reinforcement Learning Björn Lütjens Michael Everett Jonathan P. How AAML 105 96 0 28 Oct 2019
Minimax Weight and Q-Function Learning for Off-Policy Evaluation Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 179 187 0 28 Oct 2019
Quantum enhancements for deep reinforcement learning in large spaces Sofiene Jerbi Lea M. Trenkwalder Hendrik Poulsen Nautrup Hans J. Briegel Vedran Dunjko 94 5 0 28 Oct 2019
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 60 27 0 28 Oct 2019
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations Daniel Seita David M. Chan Roshan Rao Chen Tang Mandi Zhao John F. Canny 42 12 0 26 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 314 1,182 0 24 Oct 2019
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics Shuo Li Osbert Bastani 77 86 0 24 Oct 2019
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning Patrik Reizinger Marton Szemenyei 45 16 0 23 Oct 2019
Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation Rusheng Zhang Romain Leteurtre Benjamin Striner Ammar S. Alanazi Abdullah A. Alghafis Ozan K. Tonguz 42 13 0 23 Oct 2019
Optimizing Percentile Criterion Using Robust MDPs Bahram Behzadian R. Russel Marek Petrik Chin Pang Ho 113 3 0 23 Oct 2019
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales Sanjay Thakur H. V. Hoof Gunshi Gupta David Meger BDL 42 2 0 23 Oct 2019
Teach Biped Robots to Walk via Gait Principles and Reinforcement Learning with Adversarial Critics Kuangen Zhang Zhimin Hou Clarence W. de Silva Haoyong Yu Chenglong Fu 41 8 0 22 Oct 2019
Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning Guillaume Bellegarda Katie Byl OffRL 47 5 0 21 Oct 2019
Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control Arne Traue Gerrit Book Wilhelm Kirchgässner Oliver Wallscheid 43 19 0 21 Oct 2019
Deep Reinforcement Learning Control of Quantum Cartpoles Zhikang T. Wang Yuto Ashida Masahito Ueda 76 40 0 21 Oct 2019
RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning Di Zhang Dong Dai Youbiao He F. S. Bao Bing Xie OffRL 48 8 0 20 Oct 2019
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research Ashish Kumar Toby Buckley John B. Lanier Qiaozhi Wang A. Kavelaars Ilya Kuzovkin OffRL 90 14 0 18 Oct 2019
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation Harshat Kumar Alec Koppel Alejandro Ribeiro 171 84 0 18 Oct 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case Paul Almasan J. Suárez-Varela Krzysztof Rusek Pere Barlet-Ros A. Cabellos-Aparicio GNN AI4CE 123 191 0 16 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 54 39 0 16 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 75 93 0 14 Oct 2019
Actor Critic with Differentially Private Critic Jonathan Lebensold William L. Hamilton Borja Balle Doina Precup OffRL 45 9 0 14 Oct 2019