OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning Patrick Wenzel Torsten Schön Laura Leal-Taixé Zorah Lähner 53 40 0 08 Mar 2021
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning Marian Korber Johann Lange S. Rediske Simon Steinmann Roland Glück 75 49 0 08 Mar 2021
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning Hidenori Itaya Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi K. Sugiura 76 19 0 06 Mar 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning Hadi Nekoei Akilesh Badrinaaraayanan Aaron Courville Sarath Chandar CLL OffRL 84 41 0 04 Mar 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Chong Chen Yaodong Yang Lu Zhang Wulong Liu Zhaopeng Meng OffRL 138 4 0 03 Mar 2021
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control Jacopo Panerati Hehui Zheng Siqi Zhou James Xu Amanda Prorok Angela P. Schoellig University of Toronto Institute for A Studies AI4CE 102 157 0 03 Mar 2021
Minimax Model Learning Cameron Voloshin Nan Jiang Yisong Yue OffRL 117 18 0 02 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning Robert Dadashi Shideh Rezaeifar Nino Vieillard Léonard Hussenot Olivier Pietquin Matthieu Geist OffRL 110 41 0 02 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 280 1,241 0 02 Mar 2021
Reinforcement Learning for Adaptive Mesh Refinement Jiachen Yang T. Dzanic Brenden K. Petersen Junpei Kudo K. Mittal ... T. Zhao H. Zha T. Kolev Robert W. Anderson Daniel Faissol AI4CE 54 47 0 01 Mar 2021
Expected Value of Communication for Planning in Ad Hoc Teamwork William Macke Reuth Mirsky Peter Stone 85 25 0 01 Mar 2021
Revisiting Peng's Q( $λ$ ) for Modern Reinforcement Learning Tadashi Kozuno Yunhao Tang Mark Rowland Rémi Munos Steven Kapturowski Will Dabney Michal Valko David Abel OffRL 63 19 0 27 Feb 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 83 36 0 25 Feb 2021
CPG-ACTOR: Reinforcement Learning for Central Pattern Generators Luigi Campanaro Siddhant Gangapurwala D. Martini W. Merkt Ioannis Havoutis 40 9 0 25 Feb 2021
Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment Xinyun Zou Eric O. Scott Alexander B. Johnson Kexin Chen D. Nitz K. D. Jong J. Krichmar 21 5 0 25 Feb 2021
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience Nicholas Watters J. Tenenbaum M. Jazayeri GP 48 3 0 25 Feb 2021
Memory-based Deep Reinforcement Learning for POMDPs Lingheng Meng R. Gorbet Dana Kulic 104 100 0 24 Feb 2021
Honey, I Shrunk The Actor: A Case Study on Preserving Performance with Smaller Actors in Actor-Critic RL Siddharth Mysore B. Mabsout R. Mancuso Kate Saenko OffRL 38 9 0 23 Feb 2021
Greedy-Step Off-Policy Reinforcement Learning Yuhui Wang Qingyuan Wu Pengcheng He Xiaoyang Tan OffRL 59 1 0 23 Feb 2021
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models Jan Achterhold Joerg Stueckler 80 7 0 22 Feb 2021
Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective Mirza Ramicic Andrea Bonarini 65 3 0 22 Feb 2021
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning Hannes Eriksson D. Basu Mina Alibeigi Christos Dimitrakakis OffRL 89 18 0 22 Feb 2021
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation Nikola Vulin Sammy Christen Stefan Stevšić Otmar Hilliges 53 19 0 22 Feb 2021
DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration Ya-Yen Tsai Hui Xu Zihan Ding Chong Zhang Edward Johns Bidan Huang 46 32 0 22 Feb 2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels Yongqian Xiao Xin Xu Yifei Shi 60 9 0 19 Feb 2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning Manan Tomar Amy Zhang Roberto Calandra Matthew E. Taylor Joelle Pineau 97 26 0 19 Feb 2021
Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models Andreas Schuderer Stefano Bromuri M. V. Eekelen AI4CE 34 2 0 19 Feb 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space Wilko Schwarting Tim Seyde Igor Gilitschenski Lucas Liebenwein Ryan M Sander S. Karaman Daniela Rus BDL 85 37 0 19 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 61 15 0 18 Feb 2021
Privacy-Preserving Kickstarting Deep Reinforcement Learning with Privacy-Aware Learners Parham Gohari Bo Chen Bo Wu Matthew T. Hale Ufuk Topcu 48 3 0 18 Feb 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 141 15 0 18 Feb 2021
Learning Memory-Dependent Continuous Control from Demonstrations Siqing Hou Dongqi Han Jun Tani 25 0 0 18 Feb 2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach Nicola Milano S. Nolfi 135 10 0 17 Feb 2021
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences Mincheol Kim S. Niekum A. Deshpande 78 4 0 16 Feb 2021
Transferring Domain Knowledge with an Adviser in Continuous Tasks Rukshan Wijesinghe Kasun Vithanage Dumindu Tissera A. Xavier Subha Fernando Jayathu Samarawickrama CLL 45 0 0 16 Feb 2021
Learning from Demonstrations using Signal Temporal Logic Aniruddh Gopinath Puranic Jyotirmoy V. Deshmukh Stefanos Nikolaidis 76 25 0 15 Feb 2021
Does the Adam Optimizer Exacerbate Catastrophic Forgetting? Dylan R. Ashley Sina Ghiassian R. Sutton AAML 83 8 0 15 Feb 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 39 9 0 14 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal Abdullah Alomar Varkey Alumootil Devavrat Shah Dennis Shen Zhi Xu Cindy Yang OffRL 76 18 0 13 Feb 2021
A Reinforcement learning method for Optical Thin-Film Design Anqing Jiang Liangyao Chen O. Yoshie 16 3 0 13 Feb 2021
Planning and Learning Using Adaptive Entropy Tree Search Piotr Kozakowski Mikolaj Pacek Piotr Milo's 45 2 0 12 Feb 2021
Scalable Bayesian Inverse Reinforcement Learning Alex J. Chan M. Schaar OffRL BDL 93 68 0 12 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 98 192 0 11 Feb 2021
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision Julien Scholz C. Weber Muhammad Burhan Hafez S. Wermter 46 3 0 10 Feb 2021
Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning Algorithms A. Mahyari 18 1 0 10 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes Zhangjie Cao Minae Kwon Dorsa Sadigh 49 17 0 10 Feb 2021
Scheduling the NASA Deep Space Network with Deep Reinforcement Learning Edwin Y. Goh Hamsa Shwetha Venkataram Mark Hoffmann M. Johnston Brian Wilson 22 6 0 09 Feb 2021
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 66 10 0 09 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 55 13 0 09 Feb 2021
Adversarially Guided Actor-Critic Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux Matthieu Geist 77 73 0 08 Feb 2021