OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 2,578 papers shown

Title
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents Xian Yeow Lee Sambit Ghadai Kai Liang Tan Chinmay Hegde Soumik Sarkar AAML 78 51 0 05 Sep 2019
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning Khanh Nguyen Hal Daumé LM&Ro EgoV 234 151 0 04 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 77 98 0 03 Sep 2019
Generalization in Transfer Learning S. E. Ada Emre Ugur H. L. Akin 72 18 0 03 Sep 2019
Logic and the $2$ -Simplicial Transformer James Clift D. Doryn Daniel Murfet James Wallbridge NAI 48 3 0 02 Sep 2019
Reusing Convolutional Activations from Frame to Frame to Speed up Training and Inference Arno Khachatourian 21 0 0 02 Sep 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research Prasanna Balaprakash Romain Egele Misha Salim Stefan M. Wild V. Vishwanath Fangfang Xia Thomas Brettin Rick L. Stevens 68 54 0 01 Sep 2019
Automated quantum programming via reinforcement learning for combinatorial optimization K. McKiernan Erik J. Davis M. S. Alam C. Rigetti 113 21 0 21 Aug 2019
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation Yuh-Shyang Wang Tsui-Wei Weng Luca Daniel AAML 57 16 0 18 Aug 2019
Mapping State Space using Landmarks for Universal Goal Reaching Zhiao Huang Fangchen Liu Hao Su 82 68 0 15 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Yang Hu Giovanni Montana 57 6 0 14 Aug 2019
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach Rodrigo Pérez-Dattari C. Celemin Javier Ruiz-del-Solar Jens Kober OffRL 31 14 0 14 Aug 2019
Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games Philip Bontrager Ahmed Khalifa Damien Anderson Matthew Stephenson Christoph Salge Julian Togelius 54 10 0 12 Aug 2019
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 78 264 0 12 Aug 2019
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction Yuan Gao E. Sibirtseva Ginevra Castellano Danica Kragic 69 21 0 12 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 120 437 0 11 Aug 2019
Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Xiaoqiang Wang Liangjun Ke Zhimin Qiao Xinghua Chai 62 112 0 10 Aug 2019
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods Ching-An Cheng Xinyan Yan Byron Boots 71 22 0 08 Aug 2019
Free-Lunch Saliency via Attention in Atari Agents Dmitry Nikulin A. Ianina Vladimir Aliev Sergey I. Nikolenko FAtt 73 24 0 07 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 194 1,478 0 02 Aug 2019
Optimal Attacks on Reinforcement Learning Policies Alessio Russo Alexandre Proutiere AAML 65 42 0 31 Jul 2019
Wasserstein Robust Reinforcement Learning Mohammed Abdullah Hang Ren Haitham Bou-Ammar Vladimir Milenkovic Rui Luo Mingtian Zhang Jun Wang 141 76 0 30 Jul 2019
Towards Model-based Reinforcement Learning for Industry-near Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo OffRL DRL 48 4 0 27 Jul 2019
To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments Noriyuki Kojima Jia Deng 74 17 0 26 Jul 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 110 29 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 193 409 0 25 Jul 2019
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor 170 29 0 24 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 116 118 0 22 Jul 2019
Potential-Based Advice for Stochastic Policy Learning Baicen Xiao Bhaskar Ramasubramanian Andrew Clark Hannaneh Hajishirzi L. Bushnell Radha Poovendran OffRL 16 5 0 20 Jul 2019
Convolutional Reservoir Computing for World Models Hanten Chang K. Futagami 50 4 0 18 Jul 2019
Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration Qisheng Wang Qichao Wang 27 1 0 18 Jul 2019
PPO Dash: Improving Generalization in Deep Reinforcement Learning J. Booth 13 3 0 15 Jul 2019
A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning Wonshick Ko D. Chang OffRL 30 4 0 15 Jul 2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling Yuping Luo Huazhe Xu Tengyu Ma SSL 78 13 0 12 Jul 2019
General Board Game Playing for Education and Research in Generic AI Game Learning W. Konen LLMAG 26 26 0 11 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 92 103 0 08 Jul 2019
Entropic Regularization of Markov Decision Processes Boris Belousov Jan Peters 73 24 0 06 Jul 2019
Playing Flappy Bird via Asynchronous Advantage Actor Critic Algorithm E. Alp M. Güzel 8 1 0 06 Jul 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 105 365 0 03 Jul 2019
End-to-end Decentralized Multi-robot Navigation in Unknown Complex Environments via Deep Reinforcement Learning Juntong Lin Xuyun Yang Peiwei Zheng Hui Cheng 34 35 0 03 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 128 414 0 02 Jul 2019
Modified Actor-Critics Erinc Merdivan S. Hanke Matthieu Geist 43 2 0 02 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 93 382 0 01 Jul 2019
Designing Deep Reinforcement Learning for Human Parameter Exploration Hugo Scurto Bavo Van Kerrebroeck Baptiste Caramiaux Frédéric Bevilacqua 72 22 0 01 Jul 2019
FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control Longxiang Shi Shijian Li LongBing Cao Long Yang Gang Zheng Gang Pan 26 5 0 01 Jul 2019
Variational Quantum Circuits for Deep Reinforcement Learning Samuel Yen-Chi Chen Chao-Han Huck Yang Jun Qi Pin-Yu Chen Xiaoli Ma H. Goan 110 312 0 30 Jun 2019
Learning to Cope with Adversarial Attacks Xian Yeow Lee Aaron J. Havens Girish Chowdhary Soumik Sarkar AAML 68 5 0 28 Jun 2019
Learning Policies through Quantile Regression Oliver Richter Roger Wattenhofer 44 0 0 27 Jun 2019
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction Sammy Christen Stefan Stevšić Otmar Hilliges 71 24 0 27 Jun 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 87 65 0 27 Jun 2019