OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Optimizing the Long-Term Behaviour of Deep Reinforcement Learning for Pushing and Grasping Rodrigo Chau 72 0 0 07 Apr 2022
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery Bin Li Ruofeng Wei Jiaqi Xu Bo Lu C. Yee Chi-Fai Ng Pheng-Ann Heng Qi Dou Yunhui Liu 72 13 0 07 Apr 2022
Automating Reinforcement Learning with Example-based Resets Jigang Kim Jaehyeon Park Daesol Cho H. J. Kim CLL OnRL 93 14 0 05 Apr 2022
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments Arec Jamgochian E. Buehrle Johannes Fischer Mykel J. Kochenderfer 90 13 0 05 Apr 2022
A Machine With Human-Like Memory Systems Taewoon Kim Michael Cochez Vincent François-Lavet Mark Antonius Neerincx Piek Vossen 61 2 0 04 Apr 2022
Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning Leszek Pecyna Siyuan Dong Shan Luo 75 23 0 31 Mar 2022
Mask Atari for Deep Reinforcement Learning as POMDP Benchmarks Yang Shao Quan Kong Tadayuki Matsumura Taiki Fuji Kiyoto Ito Hiroyuki Mizuno 37 6 0 31 Mar 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Erdun Gao Kun Zhang Sara Magliacane CML OffRL 136 35 0 30 Mar 2022
Marginalized Operators for Off-policy Reinforcement Learning Yunhao Tang Mark Rowland Rémi Munos Michal Valko OffRL 70 0 0 30 Mar 2022
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division Dafni Antotsiou C. Ciliberto Tae-Kyun Kim 51 3 0 28 Mar 2022
REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework F. Corradini Miichele Loreti Marco Piangerelli Giacomo Rocchetti AI4CE 15 0 0 28 Mar 2022
Learning Relational Rules from Rewards Guillermo Puebla L. Doumas 49 0 0 25 Mar 2022
Non-Parametric Stochastic Policy Gradient with Strategic Retreat for Non-Stationary Environment Apan Dastider Mingjie Lin 56 2 0 24 Mar 2022
A Unified Substrate for Body-Brain Co-evolution S. Pontes-Filho Kathryn Walker Elias Najarro Stefano Nichele S. Risi 74 9 0 22 Mar 2022
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 72 6 0 21 Mar 2022
Multitask Neuroevolution for Reinforcement Learning with Long and Short Episodes Nick Zhang Abhishek Gupta Zefeng Chen Yew-Soon Ong 54 7 0 21 Mar 2022
Smoothing Advantage Learning Yaozhong Gan Zhe Zhang Xiaoyang Tan AAML 38 2 0 20 Mar 2022
The Sandbox Environment for Generalizable Agent Research (SEGAR) R. Devon Hjelm Bogdan Mazoure Florian Golemo Felipe Vieira Frujeri Mihai Jalobeanu Andrey Kolobov LLMAG LRM 74 1 0 19 Mar 2022
Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards Ruihua Han Shengduo Chen Shuaijun Wang Zeqing Zhang R. Gao Qi Hao Jia Pan 94 108 0 19 Mar 2022
Proximal Policy Optimization with Adaptive Threshold for Symmetric Relative Density Ratio Taisuke Kobayashi 62 5 0 18 Mar 2022
A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks with Transient Data Hongda Wu Ali Nasehzadeh Ping Wang 23 14 0 16 Mar 2022
RB2: Robotic Manipulation Benchmarking with a Twist Sudeep Dasari Jianren Wang Joyce Hong Shikhar Bahl Yixin Lin ... David Held Lerrel Pinto Deepak Pathak Vikash Kumar Abhi Gupta 79 27 0 15 Mar 2022
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment Erik C. Johnson Eric Q. Nguyen B. Schreurs Chigozie Ewulum C. Ashcraft Neil Fendley Megan M. Baker Alexander New Gautam K. Vallabha 67 9 0 14 Mar 2022
Impedance Adaptation by Reinforcement Learning with Contact Dynamic Movement Primitives Chunyang Chang Kevin Haninger Yunlei Shi C. Yuan Zhaopeng Chen Jianwei Zhang 56 13 0 14 Mar 2022
Neural Solvers for Fast and Accurate Numerical Optimal Control Federico Berto Stefano Massaroli Michael Poli Jinkyoo Park 55 5 0 13 Mar 2022
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms N. Kuo Mark Polizzotto S. Finfer Federico Garcia Anders Sönnerborg Maurizio Zazzi Michael Böhm Louisa R Jorm S. Barbieri OOD 73 29 0 12 Mar 2022
Context is Everything: Implicit Identification for Dynamics Adaptation Ben Evans Abitha Thankaraj Lerrel Pinto 70 20 0 10 Mar 2022
Investigation of Factorized Optical Flows as Mid-Level Representations Hsuan-Kung Yang Tsu-Ching Hsiao Tingbo Liao Hsu-Shen Liu Li-Yuan Tsao Tzu-Wen Wang Shan Yang Yu-Wen Chen Huang-ru Liao Chun-Yi Lee 65 3 0 09 Mar 2022
Gym-saturation: an OpenAI Gym environment for saturation provers Boris Shminke AIMat LRM 62 3 0 09 Mar 2022
Policy Regularization for Legible Behavior Michele Persiani Thomas Hellström 41 3 0 08 Mar 2022
Rényi State Entropy for Exploration Acceleration in Reinforcement Learning Mingqi Yuan Man-On Pun Dong Wang 113 24 0 08 Mar 2022
Reinforcement Learning for Location-Aware Scheduling S. Stavroulakis B. Sengupta 49 0 0 07 Mar 2022
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation Rayan El Helou Kiyeob Lee Dongqi Wu Le Xie S. Shakkottai V. Subramanian 32 1 0 06 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning Hongpeng Cao Mirco Theile Federico G. Wyrwal Marco Caccamo 111 8 0 04 Mar 2022
Quantum Reinforcement Learning via Policy Iteration El Amine Cherrat Iordanis Kerenidis A. Prakash 81 28 0 03 Mar 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 122 125 0 02 Mar 2022
Reliable validation of Reinforcement Learning Benchmarks Matthias Muller-Brockhausen Aske Plaat Mike Preuss OffRL 58 1 0 02 Mar 2022
Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation Xiao Liu Shuyang Liu Wenbin Li Shangdong Yang Yang Gao OffRL 42 0 0 02 Mar 2022
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics N. Passalis S. Pedrazzi Robert Babuška W. Burgard D. Dias ... P. Nousi R. Pieters M. Tzelepi A. Valada A. Tefas 44 19 0 01 Mar 2022
Learning Neural Hamiltonian Dynamics: A Methodological Overview Zhijie Chen Mingquan Feng Junchi Yan H. Zha AI4CE 75 16 0 28 Feb 2022
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn Alper Yegenoglu Anand Subramoney T. Hater Cristian Jimenez-Romero W. Klijn Aarn Pérez Martín Michiel A. van der Vlag Michael Herty A. Morrison Sandra Díaz-Pier 62 8 0 28 Feb 2022
Avalanche RL: a Continual Reinforcement Learning Library Nicolo Lucchesi Antonio Carta Vincenzo Lomonaco Davide Bacciu 82 6 0 28 Feb 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation Geon-hyeong Kim Jongmin Lee Youngsoo Jang Hongseok Yang Kyungmin Kim OffRL 119 17 0 28 Feb 2022
Quantum Deep Reinforcement Learning for Robot Navigation Tasks Hans Hohenfeld D. Heimann Felix Wiebe Frank Kirchner 96 26 0 24 Feb 2022
Inference of Affordances and Active Motor Control in Simulated Agents Fedor Scholz Christian Gumbsch S. Otte Martin Volker Butz AI4CE 73 5 0 23 Feb 2022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning Nikolaus H. R. Howe Simon Dufort-Labbé Nitarshan Rajkumar Pierre-Luc Bacon 72 5 0 22 Feb 2022
Accelerating Primal-dual Methods for Regularized Markov Decision Processes Haoya Li Hsiang-Fu Yu Lexing Ying Inderjit Dhillon 80 4 0 21 Feb 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 81 9 0 21 Feb 2022
Towards a Framework for Comparing the Complexity of Robotic Tasks Michelle Ho Alec Farid Anirudha Majumdar 49 1 0 20 Feb 2022
Differentiable Robotic Manipulation of Deformable Rope-like Objects Using Compliant Position-based Dynamics Fei Liu Entong Su Jingpei Lu Ming Li Michael C. Yip AI4CE 59 8 0 20 Feb 2022