OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,677 papers shown

Title
Perceptive Locomotion with Controllable Pace and Natural Gait Transitions Over Uneven Terrains Daniel C.H. Tan Jenny Zhang Michael M. Chuah Zhibin Li 31 2 0 26 Jan 2023
Evaluating Deception and Moving Target Defense with Network Attack Simulation Daniel Reti Karina Elzer Daniel Fraunholz Daniel Schneider Hans D. Schotten AAML 26 7 0 25 Jan 2023
Deep Reinforcement Learning for Concentric Tube Robot Path Following Keshav Iyengar Sarah Spurgeon Danail Stoyanov MedIm 26 4 0 22 Jan 2023
Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets Peer Nagy Jan-Peter Calliess S. Zohren 34 3 0 20 Jan 2023
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning Haoxuan Pan Deheng Ye Xiaoming Duan Qiang Fu Wei Yang Jianping He Mingfei Sun OffRL 25 2 0 20 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 23 0 0 19 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 42 125 0 19 Jan 2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training Philipp Altmann Thomy Phan Fabian Ritz Thomas Gabor Claudia Linnhoff-Popien OffRL 35 1 0 18 Jan 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz 29 27 0 17 Jan 2023
Asynchronous training of quantum reinforcement learning Samuel Yen-Chi Chen OffRL 37 20 0 12 Jan 2023
Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models Yi Liu Gaurav Datta Ellen R. Novoseller Daniel S. Brown 46 22 0 11 Jan 2023
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments Constantin Waubert de Puiseau Jannik Peters Christian Dörpelkus Hasan Tercan Tobias Meisen OffRL 22 7 0 10 Jan 2023
Learning to Perceive in Deep Model-Free Reinforcement Learning Gonccalo Querido Alberto Sardinha Francisco S. Melo 27 0 0 10 Jan 2023
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection Caroline Strickland Chandrika Saha Muhammad Zakar Sareh Nejad Noshin Tasnim D. Lizotte Anwar Haque 37 10 0 05 Jan 2023
Character Simulation Using Imitation Learning With Game Engine Physics Joao Rodrigues R. Nóbrega AI4CE 24 2 0 05 Jan 2023
Genetic Imitation Learning by Reward Extrapolation Boyuan Zheng Jianlong Zhou Fang Chen 24 0 0 03 Jan 2023
Explaining Imitation Learning through Frames Boyuan Zheng Jianlong Zhou Chun-Hao Liu Yiqiao Li Fang Chen 24 0 0 03 Jan 2023
A Policy Optimization Method Towards Optimal-time Stability Shengjie Wang Lan Fengb Xiang Zheng Yu-wen Cao Oluwatosin Oseni Haotian Xu Tao Zhang Yang Gao 39 1 0 02 Jan 2023
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects Sumana Basu M. Legault Adriana Romero Soriano Doina Precup OffRL 28 3 0 02 Jan 2023
Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network Duzhen Zhang Tielin Zhang Shuncheng Jia Qingyu Wang Bo Xu OffRL 224 5 0 29 Dec 2022
Backward Curriculum Reinforcement Learning Kyungmin Ko OnRL 17 0 0 29 Dec 2022
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization Zahra Shahrooei Mykel J. Kochenderfer Ali Baheri 48 6 0 28 Dec 2022
Variance Reduction for Score Functions Using Optimal Baselines Ronan L. Keane H. Gao 26 0 0 27 Dec 2022
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error Bumgeun Park Taeyoung Kim Woohyeon Moon L. Vecchietti Dongsoo Har OffRL 39 2 0 26 Dec 2022
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators Harshali Agarwal Heena Rathore 38 3 0 25 Dec 2022
NARS vs. Reinforcement learning: ONA vs. Q-Learning Ali Beikmohammadi 21 0 0 23 Dec 2022
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers Aleksandar Krnjaic Raul D. Steleac Jonathan D. Thomas Georgios Papoudakis Lukas Schafer ... Kuan-Ho Lao Murat Cubuktepe Matthew Haley Peter Borsting Stefano V. Albrecht OffRL 24 17 0 22 Dec 2022
Hyperparameters in Contextual RL are Highly Situational Theresa Eimer C. Benjamins Marius Lindauer 26 4 0 21 Dec 2022
Neighboring state-based RL Exploration Jeffery Cheng Kevin Li Justin Lin Pedro Pachuca OffRL 15 0 0 21 Dec 2022
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning Sayak Mukherjee Ramij-Raja Hossain Yuan Liu W. Du Veronica Adetola Sheik M. Mohiuddin Qiuhua Huang Tianzhixi Yin Ankit Singhal 31 4 0 17 Dec 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning Kun-Yen Huang E. Hu Dinesh Jayaraman OffRL 43 5 0 17 Dec 2022
Emergent Behaviors in Multi-Agent Target Acquisition P. Sharma Erin G. Zaroukian Derrik E. Asher Bryson Howell 37 1 0 15 Dec 2022
Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 25 8 0 14 Dec 2022
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction Brahma S. Pavse Josiah P. Hanna OffRL 37 7 0 14 Dec 2022
Reinforcement Learning in System Identification J. Antonio Martin H Oscar Fernández Sergio Pérez Anas Belfadil C. Ibáñez-Llano Freddy José Perozo Javier Valle Javier Arechalde Pelaz 20 0 0 14 Dec 2022
Efficient Exploration in Resource-Restricted Reinforcement Learning Zhihai Wang Taoxing Pan Qi Zhou Jie Wang OffRL 20 10 0 14 Dec 2022
Quantum Policy Gradient Algorithm with Optimized Action Decoding Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 29 20 0 13 Dec 2022
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration Qisheng Zhang Zhen Guo A. Jøsang Lance M. Kaplan F. Chen Dong-Ho Jeong Jin-Hee Cho 25 0 0 13 Dec 2022
Minimax Optimal Estimation of Stability Under Distribution Shift Hongseok Namkoong Yuanzhe Ma Peter Glynn 42 6 0 13 Dec 2022
AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Education Tanmay Vilas Samak Chinmay Vilas Samak Sivanathan Kandhasamy Venkat Krovi Mingjuan Xie 35 23 0 10 Dec 2022
Compiler Optimization for Quantum Computing Using Reinforcement Learning Nils Quetschlich Lukas Burgholzer Robert Wille 48 26 0 08 Dec 2022
Model-based trajectory stitching for improved behavioural cloning and its applications Charles A. Hepburn Giovanni Montana OffRL 37 5 0 08 Dec 2022
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning Cesare Caputo Michel-Alexandre Cardin Pudong Ge Fei Teng A. Korre Ehecatl Antonio del Rio Chanona 22 18 0 08 Dec 2022
Tight Performance Guarantees of Imitator Policies with Continuous Actions Davide Maran Alberto Maria Metelli Marcello Restelli OffRL 33 5 0 07 Dec 2022
Collision-tolerant Aerial Robots: A Survey Paolo De Petris S. Carlson C. Papachristos Kostas Alexis 47 4 0 06 Dec 2022
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning Ziqi Wang Tianye Shu Jialin Liu OffRL 29 1 0 06 Dec 2022
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks Jie Zou Jiashu Lou Baohua Wang Sixue Liu AIFin 29 28 0 06 Dec 2022
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation Soysal Degirmenci Chris Jones OffRL 27 1 0 05 Dec 2022
A Machine with Short-Term, Episodic, and Semantic Memory Systems Taewoon Kim Michael Cochez Vincent Franccois-Lavet Mark Antonius Neerincx Piek Vossen 45 5 0 05 Dec 2022
Learning Physically Realizable Skills for Online Packing of General 3D Shapes Hang Zhao Zherong Pan Yang Yu Kai Xu OffRL 45 14 0 05 Dec 2022