OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Ziluo Ding Zongqing Lu 34 2 0 03 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models M. Pternea Prerna Singh Abir Chakraborty Y. Oruganti M. Milletarí Sayli Bapat Kebei Jiang OffRL 36 7 0 02 Feb 2024
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation Prashansa Panda Shalabh Bhatnagar 38 1 0 02 Feb 2024
Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions Hansung Kim Siddharth H. Nair Francesco Borrelli 44 1 0 02 Feb 2024
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach Zhiyuan Yao Ionuţ Florescu Chihoon Lee OffRL 14 2 0 01 Feb 2024
A Reinforcement Learning Based Controller to Minimize Forces on the Crutches of a Lower-Limb Exoskeleton Aydin Emre Utku S. E. Ada Muhammet Hatipoglu Mustafa Derman Emre Ugur Evren Samur 17 0 0 31 Jan 2024
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability Navin Kamuni Hardik Shah Sathishkumar Chintala Naveen Kunchakuri Sujatha Alla Old Dominion 42 19 0 31 Jan 2024
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking F. Lotfi K. Virji Nicholas Dudek Gregory Dudek 27 0 0 29 Jan 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning Jianlan Luo Zheyuan Hu Charles Xu You Liang Tan Jacob Berg Archit Sharma S. Schaal Chelsea Finn Abhishek Gupta Sergey Levine OffRL OnRL 39 41 0 29 Jan 2024
DiffuserLite: Towards Real-time Diffusion Planning Zibin Dong Jianye Hao Yifu Yuan Fei Ni Yitian Wang Pengyi Li Yan Zheng 83 15 0 27 Jan 2024
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 40 2 0 26 Jan 2024
Learning fast changing slow in spiking neural networks Cristiano Capone P. Muratore OffRL 23 0 0 25 Jan 2024
Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement Nikolaus Feith Elmar Rueckert 37 1 0 23 Jan 2024
VRMN-bD: A Multi-modal Natural Behavior Dataset of Immersive Human Fear Responses in VR Stand-up Interactive Games He Zhang Xinyang Li Yuanxi Sun Xinyi Fu Christine Qiu John M. Carroll 40 4 0 22 Jan 2024
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 26 3 0 21 Jan 2024
Synergistic Reinforcement and Imitation Learning for Vision-driven Autonomous Flight of UAV Along River Zihan Wang Jianwen Li N. Mahmoudian 44 0 0 17 Jan 2024
IoTWarden: A Deep Reinforcement Learning Based Real-time Defense System to Mitigate Trigger-action IoT Attacks Md Morshed Alam Israt Jahan Charlotte AAML 14 2 0 16 Jan 2024
Learned Best-Effort LLM Serving Siddharth Jha Coleman Hooper Xiaoxuan Liu Sehoon Kim Kurt Keutzer 18 2 0 15 Jan 2024
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning L. Dinh Pham Tran Anh Quang Jérémie Leguay 24 2 0 10 Jan 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback Gokul Swamy Christoph Dann Rahul Kidambi Zhiwei Steven Wu Alekh Agarwal OffRL 51 96 0 08 Jan 2024
Policy Optimization with Smooth Guidance Learned from State-Only Demonstrations Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Zhiming Zheng 44 0 0 30 Dec 2023
Design Space Exploration of Approximate Computing Techniques with a Reinforcement Learning Approach Sepide Saeedi A. Savino S. Di Carlo 14 2 0 29 Dec 2023
Parameterized Projected Bellman Operator Th´eo Vincent Alberto Maria Metelli Boris Belousov Jan Peters Marcello Restelli Carlo DÉramo 30 3 0 20 Dec 2023
Model-Based Control with Sparse Neural Dynamics Ziang Liu Genggeng Zhou Jeff He Tobia Marcucci Fei-Fei Li Jiajun Wu Yunzhu Li AI4CE 43 17 0 20 Dec 2023
Value Explicit Pretraining for Learning Transferable Representations Kiran Lekkala Henghui Bao Sumedh Anand Sontakke Laurent Itti SSL 45 0 0 19 Dec 2023
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping Nai-Chieh Huang Ping-Chun Hsieh Kuo-Hao Ho I-Chen Wu 29 8 0 19 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 41 26 0 19 Dec 2023
TPTO: A Transformer-PPO based Task Offloading Solution for Edge Computing Environments N. Gholipour M. D. Assunção Pranav Agarwal Julien Gascon-Samson Rajkumar Buyya 27 1 0 18 Dec 2023
Human-Machine Teaming for UAVs: An Experimentation Platform Laila El Moujtahid S. Gottipati Clodéric Mars Matthew E. Taylor 31 1 0 18 Dec 2023
Solving the swing-up and balance task for the Acrobot and Pendubot with SAC Chi Zhang Akhil Sathuluri Markus Zimmermann 23 3 0 18 Dec 2023
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation Abhinav Jain Vaibhav Unhelkar OffRL 27 4 0 17 Dec 2023
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy Tianhao Peng Wenjun Wu Haitao Yuan Zhifeng Bao Pengrui Zhao Xin Yu Xuetao Lin Yu Liang Yanjun Pu 48 10 0 15 Dec 2023
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 51 4 0 14 Dec 2023
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning Yinmin Zhang Jie Liu Chuming Li Yazhe Niu Yaodong Yang Yu Liu Wanli Ouyang OffRL OnRL 63 11 0 12 Dec 2023
A dynamical clipping approach with task feedback for Proximal Policy Optimization Ziqi Zhang Jingzehua Xu Zifeng Zhuang Jinxin Liu Donglin Wang Shuai Zhang 29 1 0 12 Dec 2023
Spreeze: High-Throughput Parallel Reinforcement Learning Framework Jing Hou Guang Chen Ruiqi Zhang Zhijun Li Shangding Gu Changjun Jiang OffRL 32 2 0 11 Dec 2023
Robotic Control of the Deformation of Soft Linear Objects Using Deep Reinforcement Learning Mélodie Hani Daniel Zakaria Miguel Aranda Laurent Lequievre S. Lengagne J. Corrales Y. Mezouar AI4CE 20 6 0 08 Dec 2023
Control of a pendulum system: From simulation to reality Iyer Venkataraman Natarajan 11 0 0 08 Dec 2023
MIMo: A Multi-Modal Infant Model for Studying Cognitive Development Dominik Mattern Pierre Schumacher F. M. López Marcel C. Raabe M. Ernst A. Aubret Jochen Triesch 31 4 0 07 Dec 2023
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning Eric Hanchen Jiang Andrew Lizarraga 34 0 0 06 Dec 2023
Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence Shengbo Wang Ke Li 18 11 0 06 Dec 2023
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning Pathmanathan Pankayaraj Natalia Díaz Rodríguez Javier Del Ser CLL OffRL 43 0 0 05 Dec 2023
Contact Energy Based Hindsight Experience Prioritization Erdi Sayar Zhenshan Bing Carlo DÉramo Ozgur S. Oguz Alois Knoll 29 3 0 05 Dec 2023
Domain Adaptive Imitation Learning with Visual Observation Sungho Choi Seungyul Han Woojun Kim Jongseong Chae Whiyoung Jung Young-Jin Sung OOD 29 6 0 01 Dec 2023
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control Bernd Frauenknecht Tobias Ehlgen Sebastian Trimpe 47 3 0 30 Nov 2023
Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play Daniel Bairamian Philippe Marcotte Joshua Romoff Gabriel Robert Derek Nowrouzezahrai 21 0 0 28 Nov 2023
How to ensure a safe control strategy? Towards a SRL for urban transit autonomous operation Zicong Zhao 23 1 0 24 Nov 2023
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations Sayak Mukherjee Ramij-Raja Hossain Sheik M. Mohiuddin Yuan Liu Wei Du Veronica Adetola Rohit A Jinsiwale Qiuhua Huang Tianzhixi Yin Ankit Singhal 27 2 0 21 Nov 2023
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars Akash Sinha A. Macaluso Matthias Klusch 47 4 0 20 Nov 2023
Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management Luis E. Alvarez Marc W. Brittain Kara Breeden 19 2 0 17 Nov 2023