OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
A reinforcement learning approach to hybrid control design Meet Gandhi A. Kundu S. Bhatnagar 15 0 0 02 Sep 2020
Ranking Policy Decisions Hadrien Pouget Hana Chockler Youcheng Sun Daniel Kroening OffRL 49 6 0 31 Aug 2020
Reinforcement Learning with Feedback-modulated TD-STDP Stephen Chung R. Kozma 30 3 0 29 Aug 2020
AllenAct: A Framework for Embodied AI Research Luca Weihs Jordi Salvador Klemen Kotar Unnat Jain Kuo-Hao Zeng Roozbeh Mottaghi Aniruddha Kembhavi LM&Ro AI4CE 80 75 0 28 Aug 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 134 96 0 27 Aug 2020
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices Parth Mannan A. Samajdar T. Krishna 58 2 0 27 Aug 2020
Constrained Markov Decision Processes via Backward Value Functions Harsh Satija Philip Amortila Joelle Pineau 104 52 0 26 Aug 2020
Identifying Critical States by the Action-Based Variance of Expected Return Izumi Karino Yoshiyuki Ohmura Yasuo Kuniyoshi OffRL 26 2 0 26 Aug 2020
Inverse Policy Evaluation for Value-based Sequential Decision-making Alan Chan Kristopher De Asis R. Sutton OffRL 87 1 0 26 Aug 2020
t-Soft Update of Target Network for Deep Reinforcement Learning Taisuke Kobayashi Wendyam Eric Lionel Ilboudo 133 52 0 25 Aug 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 102 49 0 24 Aug 2020
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning Taisuke Kobayashi OffRL 44 8 0 23 Aug 2020
Adversarial Imitation Learning via Random Search Myungjae Shin Joongheon Kim 40 11 0 21 Aug 2020
Biomechanic Posture Stabilisation via Iterative Training of Multi-policy Deep Reinforcement Learning Agents M. Hossny Julie Iskander 51 0 0 21 Aug 2020
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation Jeevan Devaranjan Amlan Kar Sanja Fidler 76 89 0 20 Aug 2020
Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning Kehua Chen Hongcheng Wang Borja Valverde Perez Siyuan Zhai L. Vezzaro Aijie Wang 24 0 0 19 Aug 2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer H. Bassani R. A. Delgado J. N. D. O. L. Junior H. R. Medeiros Pedro H. M. Braga Mateus G. Machado L. H. C. Santos Alain Tapp 22 11 0 18 Aug 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics Oliver Limoyo Bryan Chan Filip Marić Brandon Wagstaff Rupam Mahmood Jonathan Kelly 74 8 0 18 Aug 2020
SuperSuit: Simple Microwrappers for Reinforcement Learning Environments J. K. Terry Benjamin Black Ananth Hari 44 22 0 17 Aug 2020
An adaptive synchronization approach for weights of deep reinforcement learning S. Badran M. Rezghi 30 0 0 16 Aug 2020
Reducing Sampling Error in Batch Temporal Difference Learning Brahma S. Pavse Ishan Durugkar Josiah P. Hanna Peter Stone OffRL 71 12 0 15 Aug 2020
Accountable Off-Policy Evaluation With Kernel Bellman Statistics Yihao Feng Zhaolin Ren Ziyang Tang Qiang Liu OffRL 148 44 0 15 Aug 2020
Reinforcement Learning with Quantum Variational Circuits Owen Lockwood Mei Si 75 140 0 15 Aug 2020
Interactive Visualization for Debugging RL Shuby Deshpande Benjamin Eysenbach J. Schneider 77 7 0 14 Aug 2020
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 86 103 0 14 Aug 2020
OR-Gym: A Reinforcement Learning Library for Operations Research Problems Christian D. Hubbs Hector D. Perez Owais Sarwar N. Sahinidis I. Grossmann J. Wassick OffRL AI4CE 67 74 0 14 Aug 2020
Imitating Unknown Policies via Exploration Nathan Gavenski Juarez Monteiro R. Granada Felipe Meneguzzi Rodrigo C. Barros OffRL 49 7 0 13 Aug 2020
Model-Based Offline Planning Arthur Argenson Gabriel Dulac-Arnold OffRL 111 155 0 12 Aug 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 84 84 0 12 Aug 2020
An ocular biomechanics environment for reinforcement learning Julie Iskander M. Hossny 39 4 0 12 Aug 2020
Learning Event-triggered Control from Data through Joint Optimization Niklas Funk Dominik Baumann V. Berenz Sebastian Trimpe 74 18 0 11 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 127 17 0 11 Aug 2020
TriFinger: An Open-Source Robot for Learning Dexterity Manuel Wüthrich Felix Widmaier F. Grimminger J. Akpo S. Joshi ... Julian Viereck M. Naveau Ludovic Righetti Bernhard Schölkopf Stefan Bauer 82 72 0 08 Aug 2020
Error Autocorrelation Objective Function for Improved System Modeling Anand Ramakrishnan Warren B.Jackson Kent Evans DRL 60 0 0 08 Aug 2020
Assisted Perception: Optimizing Observations to Communicate State S. Reddy Sergey Levine Anca Dragan 92 15 0 06 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard Alex Church John Lloyd R. Hadsell Nathan Lepora 80 31 0 06 Aug 2020
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution N. E. Toklu Paweł Liskowski R. Srivastava 52 11 0 05 Aug 2020
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch Siddarth Desai Ishan Durugkar Haresh Karnan Garrett A. Warnell Josiah P. Hanna Peter Stone 48 5 0 04 Aug 2020
Reinforced Grounded Action Transformation for Sim-to-Real Transfer Haresh Karnan Siddharth Desai Josiah P. Hanna Garrett A. Warnell Peter Stone 59 24 0 04 Aug 2020
Concurrent Training Improves the Performance of Behavioral Cloning from Observation Zachary Robertson Matthew R. Walter OffRL 57 3 0 03 Aug 2020
Proximal Deterministic Policy Gradient Marco Maggipinto Gian Antonio Susto Pratik Chaudhari OffRL 38 5 0 03 Aug 2020
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning A. Viitala Rinu Boney Yi Zhao Alexander Ilin Arno Solin OffRL 57 7 0 03 Aug 2020
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots Ben Talbot David Hall Haoyang Zhang S. Bista Rohan Smith Feras Dayoub Niko Sünderhauf 62 15 0 03 Aug 2020
Interactive Imitation Learning in State-Space Snehal Jauhri C. Celemin Jens Kober 143 14 0 02 Aug 2020
Deep Reinforcement Learning using Cyclical Learning Rates Ralf Gulde Marc Tuscher A. Csiszar O. Riedel A. Verl 28 9 0 31 Jul 2020
Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems Taisuke Kobayashi ODL 56 9 0 31 Jul 2020
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 91 47 0 30 Jul 2020
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning L. Hertel Pierre Baldi D. Gillen BDL 75 13 0 29 Jul 2020
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation Ilya Kostrikov Ofir Nachum OffRL 70 31 0 27 Jul 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation Lin Cong Michael Görner Philipp Ruppel Hongzhuo Liang Norman Hendrich Jianwei Zhang 99 13 0 27 Jul 2020