OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
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 17 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 26 56 0 05 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 25 6 0 31 Oct 2019
Learning to Manipulate Deformable Objects without Demonstrations Yilin Wu Wilson Yan Thanard Kurutach Lerrel Pinto Pieter Abbeel OffRL 31 199 0 29 Oct 2019
Deep Decentralized Reinforcement Learning for Cooperative Control Florian Köpf Samuel Tesfazgi M. Flad Sören Hohmann 26 2 0 29 Oct 2019
Minimax Weight and Q-Function Learning for Off-Policy Evaluation Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 31 184 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 27 5 0 28 Oct 2019
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 19 27 0 28 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 106 1,132 0 24 Oct 2019
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning Patrik Reizinger Marton Szemenyei 31 16 0 23 Oct 2019
Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning Guillaume Bellegarda Katie Byl OffRL 14 5 0 21 Oct 2019
Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control Arne Traue Gerrit Book Wilhelm Kirchgässner Oliver Wallscheid 6 19 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 22 8 0 20 Oct 2019
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation Harshat Kumar Alec Koppel Alejandro Ribeiro 104 80 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 61 186 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 32 93 0 14 Oct 2019
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 19 18 0 12 Oct 2019
Assistive Gym: A Physics Simulation Framework for Assistive Robotics Zackory M. Erickson Vamsee Gangaram Ariel Kapusta Chenxi Liu Charles C. Kemp 30 109 0 10 Oct 2019
RLCard: A Toolkit for Reinforcement Learning in Card Games Daochen Zha Kwei-Herng Lai Yuanpu Cao Songyi Huang Ruzhe Wei Junyu Guo Xia Hu OffRL 18 58 0 10 Oct 2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning Erdem Biyik Malayandi Palan Nicholas C. Landolfi Dylan P. Losey Dorsa Sadigh 24 114 0 10 Oct 2019
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics Pantelis R. Vlachas Jaideep Pathak Brian R. Hunt T. Sapsis M. Girvan Edward Ott Petros Koumoutsakos AI4TS 24 384 0 09 Oct 2019
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions V. Sivakumar Olivier Delalleau Tim Rocktaschel Alexander H. Miller Heinrich Küttler Nantas Nardelli Michael G. Rabbat Joelle Pineau Sebastian Riedel 18 36 0 09 Oct 2019
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals Yizheng Zhang A. Rosendo 22 6 0 08 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 27 182 0 03 Oct 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving Models Adith Boloor Karthik Garimella Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 19 106 0 02 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 24 541 0 01 Oct 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 57 532 0 26 Sep 2019
Visualizing Movement Control Optimization Landscapes Perttu Hämäläinen Juuso Toikka Amin Babadi Karen Liu 27 7 0 17 Sep 2019
Model Based Planning with Energy Based Models Yilun Du Toru Lin Igor Mordatch 22 37 0 15 Sep 2019
Wield: Systematic Reinforcement Learning With Progressive Randomization Michael Schaarschmidt Kai Fricke Eiko Yoneki 24 2 0 15 Sep 2019
Selfie Drone Stick: A Natural Interface for Quadcopter Photography Saif Alabachi G. Sukthankar Rahul Sukthankar 16 0 0 14 Sep 2019
Interactive Fiction Games: A Colossal Adventure Matthew J. Hausknecht Prithviraj Ammanabrolu Marc-Alexandre Côté Xingdi Yuan LLMAG LM&Ro AI4CE 20 193 0 11 Sep 2019
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning Arpan Kusari Jonathan P. How 9 3 0 11 Sep 2019
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning Kristopher De Asis Alan Chan Silviu Pitis R. Sutton D. Graves 24 32 0 09 Sep 2019
Mature GAIL: Imitation Learning for Low-level and High-dimensional Input using Global Encoder and Cost Transformation Wonsup Shin Hyolim Kang Sunghoon Hong 13 0 0 07 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 24 96 0 03 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 56 413 0 11 Aug 2019
Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Xiaoqiang Wang Liangjun Ke Zhimin Qiao Xinghua Chai 28 112 0 10 Aug 2019
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods Ching-An Cheng Xinyan Yan Byron Boots 30 22 0 08 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 48 1,423 0 02 Aug 2019
Optimal Attacks on Reinforcement Learning Policies Alessio Russo Alexandre Proutiere AAML 27 41 0 31 Jul 2019
Wasserstein Robust Reinforcement Learning Mohammed Abdullah Hang Ren Haitham Bou-Ammar Vladimir Milenkovic Rui Luo Mingtian Zhang Jun Wang 32 75 0 30 Jul 2019
Towards Model-based Reinforcement Learning for Industry-near Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo OffRL DRL 22 4 0 27 Jul 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 25 27 0 26 Jul 2019
Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach Anton Raichuk Piotr Stańczyk Michal Zajac Olivier Bachem ... C. Riquelme Damien Vincent Marcin Michalski Olivier Bousquet Sylvain Gelly 54 398 0 25 Jul 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 31 108 0 22 Jul 2019
Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration Qisheng Wang Qichao Wang 23 1 0 18 Jul 2019
General Board Game Playing for Education and Research in Generic AI Game Learning W. Konen LLMAG 24 25 0 11 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 32 103 0 08 Jul 2019
Modified Actor-Critics Erinc Merdivan S. Hanke M. Geist 24 2 0 02 Jul 2019