OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning F. D. Lellis M. Coraggio G. Russo Mirco Musolesi Mario di Bernardo OffRL 35 4 0 16 Nov 2023
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways Astrid Vanneste Simon Vanneste O. Vasseur R. Janssens Mattias Billast Ali Anwar Kevin Mets Tom De Schepper Siegfried Mercelis P. Hellinckx 14 4 0 16 Nov 2023
A Software-Hardware Co-Optimized Toolkit for Deep Reinforcement Learning on Heterogeneous Platforms Yuan Meng Michael Kinsner Deshanand Singh Mahesh Iyer Viktor Prasanna 39 1 0 15 Nov 2023
A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control Pei Zhang Zhaobo Hua Jinliang Ding 40 0 0 14 Nov 2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 37 5 0 13 Nov 2023
Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems Suruchi Sharma Volodymyr Makarenko Gautam Kumar Stas Tiomkin AI4CE 17 0 0 11 Nov 2023
Bridging Dimensions: Confident Reachability for High-Dimensional Controllers Yuang Geng Jake Brandon Baldauf Souradeep Dutta Chao Huang Ivan Ruchkin 43 5 0 08 Nov 2023
Deep Bayesian Reinforcement Learning for Spacecraft Proximity Maneuvers and Docking Desong Du Naiming Qi Yanfang Liu Wei Pan 16 0 0 07 Nov 2023
PcLast: Discovering Plannable Continuous Latent States Anurag Koul Shivakanth Sujit Shaoru Chen Ben Evans Lili Wu ... Yonathan Efroni Lekan Molu Miro Dudik John Langford Alex Lamb OffRL BDL 39 1 0 06 Nov 2023
Towards model-free RL algorithms that scale well with unstructured data Joseph Modayil Zaheer Abbas OffRL 28 3 0 03 Nov 2023
Network Contention-Aware Cluster Scheduling with Reinforcement Learning Junyeol Ryu Jeongyoon Eo GNN 25 0 0 31 Oct 2023
Efficient Exploration in Continuous-time Model-based Reinforcement Learning Lenart Treven Jonas Hübotter Bhavya Sukhija Florian Dorfler Andreas Krause 35 6 0 30 Oct 2023
Online Decision Mediation Daniel Jarrett Alihan Huyuk M. Schaar 35 2 0 28 Oct 2023
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OOD OffRL 36 7 0 27 Oct 2023
Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models Pushkal Katara Zhou Xian Katerina Fragkiadaki LM&Ro 66 39 0 27 Oct 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 31 10 0 25 Oct 2023
Absolute Policy Optimization Weiye Zhao Feihan Li Yifan Sun Rui Chen Tianhao Wei Changliu Liu 57 4 0 20 Oct 2023
UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework Abdelhakim Amer Olaya Álvarez-Tunón Halil Ibrahim Ugurlu Jonas Le Fevre Sejersen Yury Brodskiy Erdal Kayacan 44 19 0 18 Oct 2023
Using Experience Classification for Training Non-Markovian Tasks Ruixuan Miao Xu Lu Cong Tian Bin Yu Zhenhua Duan OffRL 28 0 0 18 Oct 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin Yan Li Yue Yu Qingru Zhang Zhehui Chen Simiao Zuo Chao Zhang Songan Zhang Tuo Zhao OOD AAML 35 18 0 16 Oct 2023
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning Tianle Huang Nitish Sontakke K. N. Kumar Irfan Essa Stefanos Nikolaidis Dennis W. Hong Sehoon Ha 29 2 0 16 Oct 2023
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments Guanlin Meng 28 1 0 16 Oct 2023
Theory of Mind for Multi-Agent Collaboration via Large Language Models Huao Li Yu Quan Chong Simon Stepputtis Joseph Campbell Dana Hughes Michael Lewis Katia Sycara LLMAG 36 62 0 16 Oct 2023
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments M. Goudarzi M. A. Rodriguez Majid Sarvi Rajkumar Buyya OffRL 32 1 0 13 Oct 2023
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations Lu Li Yuxin Pan Ruobing Chen Jie Liu Zilin Wang Yu Liu Zhiheng Li 50 0 0 13 Oct 2023
Octopus: Embodied Vision-Language Programmer from Environmental Feedback Jingkang Yang Yuhao Dong Shuai Liu Bo Li Ziyue Wang ... Haoran Tan Jiamu Kang Yuanhan Zhang Kaiyang Zhou Ziwei Liu LM&Ro 52 46 0 12 Oct 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu Yuan Pu Zhenjie Yang Xueyan Li Tong Zhou Jiyuan Ren Shuai Hu Hongsheng Li Yu Liu 98 12 0 12 Oct 2023
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun Alihan Huyuk Daniel Jarrett M. Schaar OffRL 44 7 0 11 Oct 2023
Imitation Learning from Purified Demonstration Yunke Wang Minjing Dong Bo Du Chang Xu 39 1 0 11 Oct 2023
RoboHive: A Unified Framework for Robot Learning Vikash Kumar Rutav Shah Gaoyue Zhou Vincent Moens Vittorio Caggiano Jay Vakil Abhishek Gupta Aravind Rajeswaran 24 22 0 10 Oct 2023
Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach Gyusun Kim Jaehyun Chung Soohyun Park 29 6 0 10 Oct 2023
Initial Task Assignment in Multi-Human Multi-Robot Teams: An Attention-enhanced Hierarchical Reinforcement Learning Approach Ruiqi Wang Dezhong Zhao Arjun Gupte Byung-Cheol Min 18 1 0 08 Oct 2023
Searching for Optimal Runtime Assurance via Reachability and Reinforcement Learning Kristina Miller Christopher K. Zeitler William Shen Kerianne L. Hobbs Sayan Mitra John Schierman Mahesh Viswanathan 24 0 0 06 Oct 2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Moritz Lange Noah Krystiniak Raphael C. Engelhardt Wolfgang Konen Laurenz Wiskott OffRL 21 1 0 06 Oct 2023
On Representation Complexity of Model-based and Model-free Reinforcement Learning Hanlin Zhu Baihe Huang Stuart Russell OffRL 38 3 0 03 Oct 2023
Imitation Learning from Observation through Optimal Transport Wei-Di Chang Scott Fujimoto David Meger Gregory Dudek 32 4 0 02 Oct 2023
Dynamic Manipulation of a Deformable Linear Object: Simulation and Learning Qi Jing Chen Timothy Bretl N. Vuong Quang Pham AI4CE 14 0 0 02 Oct 2023
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym Elena Raponi Nathanaël Carraz Rakotonirina Jérémy Rapin Carola Doerr O. Teytaud 48 5 0 29 Sep 2023
HyperPPO: A scalable method for finding small policies for robotic control Luming Tang Zhehui Huang Gaurav Sukhatme 33 3 0 28 Sep 2023
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture Zixuan Chen Ze Ji Shuyang Liu Jing Huo Yiyu Chen Yang Gao 18 1 0 28 Sep 2023
Stackelberg Batch Policy Learning Wenzhuo Zhou Annie Qu OffRL 40 1 0 28 Sep 2023
Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagation Zihang Wang Maowei Jiang AI4CE 33 0 0 25 Sep 2023
Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework Wenzhuo Zhou Yuhan Li Ruoqing Zhu Annie Qu OffRL 36 4 0 23 Sep 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization Hai Zhang Hang Yu Junqiao Zhao Di Zhang Chang Huang Hongtu Zhou Xiao Zhang Chen Ye 21 9 0 22 Sep 2023
Learning Actions and Control of Focus of Attention with a Log-Polar-like Sensor Robin Göransson Volker Krueger 17 0 0 22 Sep 2023
Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning Yousef AlSaqabi Bhaskar Krishnamachari 28 2 0 21 Sep 2023
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding Devleena Das Sonia Chernova Been Kim LRM LLMAG 52 22 0 21 Sep 2023
Learning to Recover for Safe Reinforcement Learning Haoyu Wang Xin Yuan Qinqing Ren 36 0 0 21 Sep 2023
Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling Wenjun Huang Yunduan Cui Huiyun Li Xin Wu MU 27 0 0 20 Sep 2023
Monte-Carlo tree search with uncertainty propagation via optimal transport Tuan Dam Pascal Stenger Lukas Schneider Joni Pajarinen Carlo DÉramo Odalric-Ambrym Maillard 19 1 0 19 Sep 2023