OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics Md Ashaduzzaman Rubel Mondol Aishwarya Pothula Deokgun Park LM&Ro 22 0 0 29 Dec 2020
POPO: Pessimistic Offline Policy Optimization Qiang He Xinwen Hou OffRL 37 10 0 26 Dec 2020
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach James Queeney I. Paschalidis Christos G. Cassandras 31 9 0 19 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency Qiang Zhang Tete Xiao Alexei A. Efros Lerrel Pinto Xiaolong Wang 20 64 0 17 Dec 2020
Embodied Visual Active Learning for Semantic Segmentation David Nilsson Aleksis Pirinen Erik Gartner C. Sminchisescu 42 35 0 17 Dec 2020
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning Nathan Lambert Albert Wilcox Howard Zhang K. Pister Roberto Calandra 27 33 0 16 Dec 2020
CARLA Real Traffic Scenarios -- novel training ground and benchmark for autonomous driving B. Osinski Piotr Milos Adam Jakubowski Pawel Ziecina Michal Martyniak Christopher Galias Antonia Breuer S. Homoceanu Henryk Michalewski 25 20 0 16 Dec 2020
Policy Manifold Search for Improving Diversity-based Neuroevolution Nemanja Rakićević Antoine Cully Petar Kormushev 29 0 0 15 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 36 40 0 15 Dec 2020
TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution Vision-based Tactile Sensors Shaoxiong Wang Mike Lambeta Po-wei Chou Roberto Calandra 18 137 0 15 Dec 2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs J. Luis 28 0 0 14 Dec 2020
Evolutionary learning of interpretable decision trees Leonardo Lucio Custode Giovanni Iacca OffRL 45 40 0 14 Dec 2020
Tutoring Reinforcement Learning via Feedback Control F. D. Lellis G. Russo M. D. Bernardo 19 6 0 12 Dec 2020
Applied Machine Learning for Games: A Graduate School Course Yilei Zeng Aayush Shah Jameson Thai M. Zyda AI4CE 14 3 0 30 Nov 2020
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems Yichen Zhang F. Qiu Tianqi Hong Zhaoyu Wang F. Li 21 23 0 29 Nov 2020
Learning from Simulation, Racing in Reality Eugenio Chisari Alexander Liniger Alisa Rupenyan Luc Van Gool John Lygeros 33 25 0 26 Nov 2020
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer Carlos H. C. Pena Mateus G. Machado M. S. Barros José D. P. Silva Lucas D. Maciel Ing Ren Tsang Edna N. S. Barros Pedro H. M. Braga H. Bassani 28 1 0 23 Nov 2020
Inverse Constrained Reinforcement Learning Usman Anwar Shehryar Malik Alireza Aghasi Ali Ahmed 18 58 0 19 Nov 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization Sreejith Balakrishnan Q. Nguyen Bryan Kian Hsiang Low Harold Soh 22 26 0 17 Nov 2020
Stein Variational Model Predictive Control Alexander Lambert Adam Fishman Dieter Fox Byron Boots F. Ramos 24 57 0 15 Nov 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning Jiajun Fan He Ba Xian Guo Jianye Hao OffRL 21 5 0 13 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 21 131 0 12 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 18 105 0 12 Nov 2020
Joint Space Control via Deep Reinforcement Learning Visak C. V. Kumar David Hoeller Balakumar Sundaralingam Jonathan Tremblay Stan Birchfield DRL 25 15 0 12 Nov 2020
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers Antoine Prouvost Justin Dumouchelle Lara Scavuzzo Maxime Gasse Didier Chételat Andrea Lodi OffRL 30 46 0 11 Nov 2020
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes Herman Yau Chris Russell Simon Hadfield FAtt LRM 28 36 0 10 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic Specifications Parv Kapoor Anand Balakrishnan Jyotirmoy V. Deshmukh 29 22 0 10 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 13 72 0 09 Nov 2020
Universal Activation Function For Machine Learning Brosnan Yuen Minh Tu Hoang Xiaodai Dong Tao Lu 26 40 0 07 Nov 2020
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments M. Praeger Yunhui Xie J. Grant-Jacob R. Eason B. Mills 27 11 0 05 Nov 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity Tanmay Gangwani Jian Peng Yuanshuo Zhou 29 10 0 05 Nov 2020
Federated Knowledge Distillation Hyowoon Seo Jihong Park Seungeun Oh M. Bennis Seong-Lyun Kim FedML 36 91 0 04 Nov 2020
Rearrangement: A Challenge for Embodied AI Dhruv Batra Angel X. Chang Sonia Chernova Andrew J. Davison Jia Deng ... Jitendra Malik Igor Mordatch Roozbeh Mottaghi Manolis Savva Hao Su LM&Ro 40 217 0 03 Nov 2020
Control with adaptive Q-learning J. Araújo Mário A. T. Figueiredo M. Botto 33 2 0 03 Nov 2020
Generalization to New Actions in Reinforcement Learning Ayush Jain Andrew Szot Joseph J. Lim AI4CE 35 34 0 03 Nov 2020
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations N. Pitsillos Ameya Pore B. S. Jensen G. Aragon-Camarasa 15 3 0 03 Nov 2020
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition J. Siekmann Yesh Godse Alan Fern J. Hurst 21 153 0 02 Nov 2020
Logistic Q-Learning Joan Bas-Serrano Sebastian Curi Andreas Krause Gergely Neu 14 40 0 21 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 139 193 0 19 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 37 27 0 19 Oct 2020
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator Hongyao Tang Zhaopeng Meng Jianye Hao Cen Chen D. Graves ... Hangyu Mao Wulong Liu Yaodong Yang Wenyuan Tao Li Wang OffRL 24 7 0 19 Oct 2020
Chance-Constrained Control with Lexicographic Deep Reinforcement Learning Alessandro Giuseppi A. Pietrabissa 26 7 0 19 Oct 2020
Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification Davide Corsi Enrico Marchesini Alessandro Farinelli OffRL 14 2 0 19 Oct 2020
Softmax Deep Double Deterministic Policy Gradients Ling Pan Qingpeng Cai Longbo Huang 72 86 0 19 Oct 2020
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning Claudia Pérez-DÁrpino Can Liu P. Goebel Roberto Martín-Martín Silvio Savarese 39 65 0 16 Oct 2020
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models Cédric Colas B. Hejblum S. Rouillon R. Thiébaut Pierre-Yves Oudeyer Clément Moulin-Frier M. Prague 24 22 0 09 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 42 120 0 08 Oct 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning Hassam Sheikh Shauharda Khadka Santiago Miret Somdeb Majumdar OffRL 29 7 0 08 Oct 2020
Reinforcement Learning with Random Delays Simon Ramstedt Yann Bouteiller Giovanni Beltrame C. Pal Jonathan Binas 132 59 0 06 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 49 216 0 06 Oct 2020