OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,657 papers shown

Title
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel Kaixin Wang Uri Gadot Navdeep Kumar Kfir Y. Levy Shie Mannor 44 3 0 09 Jun 2023
Decoupled Prioritized Resampling for Offline RL Yang Yue Bingyi Kang Xiao Ma Qisen Yang Gao Huang S. Song Shuicheng Yan OffRL 29 0 0 08 Jun 2023
Active Inference in Hebbian Learning Networks A. Safa Tim Verbelen Lars Keuninckx I. Ocket A. Bourdoux F. Catthoor Georges G. E. Gielen Gert Cauwenberghs 38 2 0 08 Jun 2023
Boosting Offline Reinforcement Learning with Action Preference Query Qisen Yang Shenzhi Wang Matthieu Lin S. Song Gao Huang OffRL 24 10 0 06 Jun 2023
Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan Georgios Tzannetos Goran Radanović Adish Singla FedML 28 0 0 05 Jun 2023
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving Linjin Wu Zengjie Zhang S. Haesaert Zhiqiang Ma Zhiyong Sun OffRL 13 6 0 05 Jun 2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic Tianying Ji Yuping Luo Gang Hua Xianyuan Zhan Jianwei Zhang Huazhe Xu OffRL OnRL 50 15 0 05 Jun 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto Wei-Di Chang Edward James Smith S. Gu Doina Precup David Meger OffRL 30 46 0 04 Jun 2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space Anas Barakat Ilyas Fatkhullin Niao He 36 11 0 02 Jun 2023
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages Andrew Jesson Chris Xiaoxuan Lu Gunshi Gupta Angelos Filos Jakob N. Foerster Y. Gal OffRL 31 5 0 02 Jun 2023
Extracting Reward Functions from Diffusion Models Felipe Nuti Tim Franzmeyer João F. Henriques 27 14 0 01 Jun 2023
Train Offline, Test Online: A Real Robot Learning Benchmark G. Zhou Victoria Dean Mohan Kumar Srirama Aravind Rajeswaran Jyothish Pari ... Tianhe Yu Pieter Abbeel Lerrel Pinto Chelsea Finn Abhi Gupta OffRL 62 39 0 01 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints Qian Lin Bo Tang Zifan Wu Chao Yu Shangqin Mao Qianlong Xie Xingxing Wang Dong Wang OffRL 41 11 0 01 Jun 2023
NetHack is Hard to Hack Ulyana Piterbarg Lerrel Pinto Rob Fergus 35 7 0 30 May 2023
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics Jia-Qi Yang Yucheng Xu Jianwei Shen Ke-Bin Fan De-Chuan Zhan Yang Yang 39 1 0 30 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 38 9 0 29 May 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features Boyuan Chen Chuning Zhu Pulkit Agrawal Kai Zhang Abhishek Gupta OffRL SSL 41 6 0 26 May 2023
NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios Jaromír Janisch Tomávs Pevný Viliam Lisý 26 14 0 26 May 2023
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation Amir Samadi K. Koufos Kurt Debattista M. Dianati OffRL 39 3 0 25 May 2023
Aerial Gym -- Isaac Gym Simulator for Aerial Robots Mihir Kulkarni Theodor J. L. Forgaard Kostas Alexis 21 14 0 25 May 2023
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning V. Moschopoulos Pantelis Kyriakidis A. Lazaridis I. Vlahavas 23 0 0 25 May 2023
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees Sharan Vaswani A. Kazemi Reza Babanezhad Nicolas Le Roux OffRL 39 3 0 24 May 2023
Neural Lyapunov and Optimal Control Daniel Layeghi Steve Tonneau M. Mistry 21 0 0 24 May 2023
Adaptive Policy Learning to Additional Tasks Wenjian Hao Zehui Lu Zihao Liang Tianyu Zhou Shaoshuai Mou 37 0 0 24 May 2023
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games Ruoyao Wang Graham Todd Xingdi Yuan Ziang Xiao Marc-Alexandre Côté Peter Alexander Jansen LRM 29 13 0 24 May 2023
Inverse Reinforcement Learning with the Average Reward Criterion Feiyang Wu Jingyang Ke Anqi Wu 37 9 0 24 May 2023
Constrained Reinforcement Learning for Dynamic Material Handling Chengpeng Hu Ziming Wang Jialin Liu J. Wen Bifei Mao Xinghu Yao 24 0 0 23 May 2023
XRoute Environment: A Novel Reinforcement Learning Environment for Routing Zhanwen Zhou H. Zhuo Xiaowu Zhang Qiyuan Deng 25 0 0 23 May 2023
Strategy Extraction in Single-Agent Games Archana Vadakattu Michelle L. Blom A. Pearce 26 1 0 22 May 2023
Client Selection for Federated Policy Optimization with Environment Heterogeneity Zhijie Xie S. H. Song 35 3 0 18 May 2023
Model-Free Robust Average-Reward Reinforcement Learning Yue Wang Alvaro Velasquez George Atia Ashley Prater-Bennette Shaofeng Zou 34 10 0 17 May 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 27 3 0 17 May 2023
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning J. Collins Mark Robson Jun Yamada Mohan Sridharan Karol Janik Ingmar Posner 45 14 0 16 May 2023
Trojan Playground: A Reinforcement Learning Framework for Hardware Trojan Insertion and Detection Amin Sarihi Ahmad Patooghy Peter Jamieson Abdel-Hameed A. Badawy 32 8 0 16 May 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 32 2 0 15 May 2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks Shahaf Yamin Haim Permuter 27 3 0 12 May 2023
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm Ukjo Hwang Songnam Hong 28 0 0 11 May 2023
HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning Chong Guan Heting Liu Guohong Cao Sencun Zhu T. L. La Porta 17 5 0 10 May 2023
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization Homayoon Farrahi Rupam Mahmood 34 5 0 09 May 2023
Provable Preimage Under-Approximation for Neural Networks (Full Version) Xiyue Zhang Benjie Wang Marta Z. Kwiatkowska AAML 41 7 0 05 May 2023
Maximum Causal Entropy Inverse Constrained Reinforcement Learning Mattijs Baert Pietro Mazzaglia Sam Leroux Pieter Simoens CML 48 10 0 04 May 2023
Explainable Reinforcement Learning via a Causal World Model Zhongwei Yu Jingqing Ruan Dengpeng Xing CML 40 15 0 04 May 2023
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees Daqian Shao Marta Kwiatkowska OffRL 31 7 0 02 May 2023
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation Guoliang He Sean Parker Eiko Yoneki 32 2 0 28 Apr 2023
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading Maniraman Periyasamy Marc Hölle Marco Wiedmann Daniel D. Scherer Axel Plinge Christopher Mutschler OffRL 54 6 0 27 Apr 2023
Learning Environment for the Air Domain (LEAD) Andreas Strand Patrick Ribu Gorton M. Asprusten K. Brathen 31 1 0 27 Apr 2023
A Control-Centric Benchmark for Video Prediction Stephen Tian Chelsea Finn Jiajun Wu 47 10 0 26 Apr 2023
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing Philipp Altmann Fabian Ritz Leonard Feuchtinger Jonas Nusslein Claudia Linnhoff-Popien Thomy Phan OOD OffRL 29 5 0 26 Apr 2023
Games for Artificial Intelligence Research: A Review and Perspectives Chengpeng Hu Yunlong Zhao Ziqi Wang Haocheng Du Jialin Liu AI4CE 37 13 0 26 Apr 2023
Dynamic Datasets and Market Environments for Financial Reinforcement Learning Xiao-Yang Liu Ziyi Xia Hongyang Yang Jiechao Gao Daochen Zha Ming Zhu Chris Wang Zhaoran Wang Jian Guo OffRL 32 27 0 25 Apr 2023