OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 27 54 0 20 Feb 2019
Emergent Coordination Through Competition Siqi Liu Guy Lever J. Merel S. Tunyasuvunakool N. Heess T. Graepel 47 149 0 19 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations Yuhui Wang Hao He Xiaoyang Tan 30 9 0 15 Feb 2019
Network Offloading Policies for Cloud Robotics: a Learning-based Approach Sandeep P. Chinchali Apoorva Sharma James Harrison Amine Elhafsi Daniel Kang Evgenya Pergament Eyal Cidon Sachin Katti Marco Pavone OffRL 11 105 0 15 Feb 2019
VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems T. Dreossi Daniel J. Fremont Shromona Ghosh Edward J. Kim H. Ravanbakhsh Marcell Vazquez-Chanlatte S. Seshia 18 29 0 12 Feb 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning Francisco M. Garcia Philip S. Thomas 24 38 0 03 Feb 2019
Certified Reinforcement Learning with Logic Guidance Mohammadhosein Hasanbeig Daniel Kroening Alessandro Abate 24 53 0 02 Feb 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective Anirudh Vemula Wen Sun J. Andrew Bagnell 19 40 0 31 Jan 2019
Improving Evolutionary Strategies with Generative Neural Networks Louis Faury Clément Calauzènes Olivier Fercoq Syrine Krichene 27 12 0 31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 363 0 30 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 118 0 29 Jan 2019
Modularization of End-to-End Learning: Case Study in Arcade Games Andrew Melnik Sascha Fleer M. Schilling Helge J. Ritter OffRL 39 12 0 27 Jan 2019
Trust Region Value Optimization using Kalman Filtering Shirli Di-Castro Shashua Shie Mannor 19 7 0 23 Jan 2019
Neuroflight: Next Generation Flight Control Firmware W. Koch R. Mancuso Azer Bestavros 35 29 0 19 Jan 2019
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning Ameer Haj-Ali Qijing Huang William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 29 36 0 15 Jan 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 28 122 0 08 Jan 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 16 10 0 03 Jan 2019
Complementary reinforcement learning towards explainable agents J. H. Lee 27 12 0 01 Jan 2019
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 39 73 0 26 Dec 2018
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control Xingxing Liang Qi Wang Yanghe Feng Zhong Liu Jincai Huang 29 5 0 24 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 30 32 0 19 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kaipeng Zhang G. Giannakis Tamer Basar OffRL 29 41 0 07 Dec 2018
Active Deep Q-learning with Demonstration Si-An Chen Voot Tangkaratt Hsuan-Tien Lin Masashi Sugiyama 18 32 0 06 Dec 2018
Relative Entropy Regularized Policy Iteration A. Abdolmaleki Jost Tobias Springenberg Jonas Degrave Steven Bohez Yuval Tassa Dan Belov N. Heess Martin Riedmiller 27 72 0 05 Dec 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments Qihao Liu Yujia Wang Xiao-Fei Liu 25 8 0 26 Nov 2018
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning L. Nguyen Zhou Yang Jiazhen Zhu Jia Ming Li Fang Jin 24 21 0 12 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 29 3 0 11 Nov 2018
Sample-Efficient Policy Learning based on Completely Behavior Cloning Qiming Zou Ling Wang K. Lu Yu Li OffRL 25 0 0 09 Nov 2018
Deep Reinforcement Learning via L-BFGS Optimization Chris Paxton Roummel F. Marcia OffRL 21 0 0 06 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 21 22 0 03 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 38 54 0 03 Nov 2018
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning Kavosh Asadi Evan Cater Dipendra Kumar Misra Michael L. Littman OffRL 29 13 0 31 Oct 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions Lerrel Pinto Aditya Mandalika Brian Hou S. Srinivasa 33 13 0 24 Oct 2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning Michael Schaarschmidt Sven Mika Kai Fricke Eiko Yoneki OffRL 23 5 0 21 Oct 2018
Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents Yosuke Fukuchi Masahiko Osawa Hiroshi Yamakawa M. Imai 19 31 0 20 Oct 2018
O2A: One-shot Observational learning with Action vectors Leo Pauly Wisdom C. Agboh David C. Hogg R. Fuentes 57 9 0 17 Oct 2018
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation Pratyusha Sharma Lekha Mohan Lerrel Pinto Abhinav Gupta 23 119 0 16 Oct 2018
Batch Active Preference-Based Learning of Reward Functions Erdem Biyik Dorsa Sadigh 22 108 0 10 Oct 2018
Reinforcement Learning for Improving Agent Design David R Ha 35 124 0 09 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation Perttu Hämäläinen Amin Babadi Xiaoxiao Ma J. Lehtinen 32 62 0 05 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 19 74 0 02 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information Arjun Sharma Mohit Sharma Nicholas Rhinehart Kris Kitani 27 68 0 29 Sep 2018
Boosting Trust Region Policy Optimization by Normalizing Flows Policy Yunhao Tang Shipra Agrawal TPM 39 29 0 27 Sep 2018
Omega-Regular Objectives in Model-Free Reinforcement Learning E. M. Hahn Mateo Perez S. Schewe Fabio Somenzi Ashutosh Trivedi D. Wojtczak 15 145 0 26 Sep 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning Izumi Karino Kazutoshi Tanaka Ryuma Niiyama Yasuo Kuniyoshi 19 3 0 18 Sep 2018
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator Hai V. Nguyen Hung M. La M. Deans SSL OffRL 12 8 0 16 Sep 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning P. Nagarajan Garrett A. Warnell Peter Stone 22 51 0 15 Sep 2018