OpenAI Gym

5 June 2016

Papers citing "OpenAI Gym"

50 / 1,654 papers shown

Title
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 41 8 0 10 Jun 2024
Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery Paul Maria Scheikl E. Tagliabue B. Gyenes M. Wagner Diego DallÁlba Paolo Fiorini Franziska Mathis-Ullrich MedIm 46 47 0 10 Jun 2024
Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation Nader Zare Aref Sayareh Alireza Sadraii Arad Firouzkouhi Amilcar Soares 34 0 0 09 Jun 2024
Algorithms for learning value-aligned policies considering admissibility relaxation Andrés Holgado-Sánchez Joaquín Arias Holger Billhardt Sascha Ossowski 29 0 0 07 Jun 2024
Reflective Policy Optimization Yaozhong Gan Renye Yan Zhe Wu Junliang Xing 40 1 0 06 Jun 2024
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback Ilgee Hong Zichong Li Alexander Bukharin Yixiao Li Haoming Jiang Tianbao Yang Tuo Zhao 40 4 0 04 Jun 2024
Power Mean Estimation in Stochastic Monte-Carlo Tree_Search Tuan Dam Odalric-Ambrym Maillard Emilie Kaufmann 34 0 0 04 Jun 2024
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning Wenzhe Li Zihan Ding Seth Karten Chi Jin 40 1 0 04 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 41 0 0 03 Jun 2024
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning Tenglong Liu Yang Li Yixing Lan Hao Gao Wei Pan Xin Xu OffRL 36 5 0 30 May 2024
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts Yu-Juan Luo Tianying Ji Gang Hua Jianwei Zhang Huazhe Xu Xianyuan Zhan OffRL 64 3 0 29 May 2024
FDQN: A Flexible Deep Q-Network Framework for Game Automation Prabhath Reddy Gujavarthy OffRL 22 0 0 29 May 2024
Efficient Learning in Chinese Checkers: Comparing Parameter Sharing in Multi-Agent Reinforcement Learning Noah Adhikari Allen Gu 49 0 0 29 May 2024
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime Zhiyao Luo Mingcheng Zhu Fenglin Liu Jiali Li Yangchen Pan Jiandong Zhou Tingting Zhu OffRL 43 3 0 28 May 2024
PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning Martin Balla G. E. Long J. Goodman Raluca D. Gaina Diego Perez-Liebana OffRL GP 15 1 0 28 May 2024
Mollification Effects of Policy Gradient Methods Tao Wang Sylvia Herbert Sicun Gao 54 0 0 28 May 2024
Matrix Low-Rank Approximation For Policy Gradient Methods Sergio Rozada A. Marques 42 2 0 27 May 2024
Matrix Low-Rank Trust Region Policy Optimization Sergio Rozada Antonio G. Marques 45 0 0 27 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images Yiran Luo Joshua Forster Feinglass Tejas Gokhale Kuan-Cheng Lee Chitta Baral Yezhou Yang 39 0 0 24 May 2024
Human-in-the-loop Reinforcement Learning for Data Quality Monitoring in Particle Physics Experiments Olivia Jullian Parra J. G. Pardiñas Lorenzo Del Pianta Pérez Maximilian Janisch S. Klaver Thomas Lehéricy N. Serra OffRL 39 1 0 24 May 2024
Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency Sheng Yue Xingyuan Hua Lili Chen Ju Ren 28 1 0 24 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 82 45 0 23 May 2024
BenchNav: Simulation Platform for Benchmarking Off-road Navigation Algorithms with Probabilistic Traversability Masafumi Endo Kohei Honda Genya Ishigami 37 2 0 22 May 2024
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls Nathaniel P. Hamilton Kyle Dunlap Kerianne L. Hobbs 42 0 0 20 May 2024
Stochastic Q-learning for Large Discrete Action Spaces Fares Fourati Vaneet Aggarwal Mohamed-Slim Alouini OffRL 44 2 0 16 May 2024
Computational Thought Experiments for a More Rigorous Philosophy and Science of the Mind Iris Oved Nikhil Krishnaswamy James Pustejovsky Joshua Hartshorne LM&Ro 34 0 0 14 May 2024
CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization Wei-Ting Tang J. Paulson 22 1 0 13 May 2024
OpenBot-Fleet: A System for Collective Learning with Real Robots Matthias M¨uller Samarth Brahmbhatt Ankur Deka Quentin Leboutet David Hafner V. Koltun 53 0 0 13 May 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search Yassine Chemingui Aryan Deshwal Trong Nghia Hoang J. Doppa OffRL 53 9 0 08 May 2024
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks Zhifa Ke Zaiwen Wen Junyu Zhang 37 0 0 07 May 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 55 11 0 07 May 2024
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline Wenjia Meng Qian Zheng Long Yang Yilong Yin Gang Pan OffRL 34 0 0 04 May 2024
CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities Kingsley Nweye Kathryn Kaspar Giacomo Buscemi Tiago Fonseca G. Pinto ... Luis Lino Ferreira Tianzhen Hong Mohamed Ouf Alfonso Capozzoli Zoltán Nagy 27 7 0 02 May 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 48 4 0 02 May 2024
Queue-based Eco-Driving at Roundabouts with Reinforcement Learning Anna-Lena Schlamp Werner Huber Stefanie Schmidtner 27 0 0 01 May 2024
Employing Federated Learning for Training Autonomous HVAC Systems Fredrik Hagström Vikas K. Garg Fabricio Oliveira AI4CE 76 0 0 01 May 2024
SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies Amir Samadi K. Koufos Kurt Debattista M. Dianati 48 4 0 28 Apr 2024
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review Sergio A. Serrano J. Martínez-Carranza L. Sucar 41 0 0 26 Apr 2024
Timely Communications for Remote Inference Md Kamran Chowdhury Shisher Yin Sun I-Hong Hou 23 13 0 25 Apr 2024
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey Lingfan Bao Josephine N. Humphreys Tianhu Peng Chengxu Zhou 73 5 0 25 Apr 2024
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule Maniraman Periyasamy Axel Plinge Christopher Mutschler Daniel D. Scherer Wolfgang Mauerer 54 6 0 24 Apr 2024
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots Simranjit Singh Michael Fore Dimitrios Stamoulis LLMAG 35 12 0 23 Apr 2024
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents Chen Gong Kecen Li Jin Yao Tianhao Wang OnRL 41 0 0 18 Apr 2024
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models Jiaqi Yan Ankush Chakrabarty Alisa Rupenyan John Lygeros 37 2 0 18 Apr 2024
Compact Multi-Object Placement Using Adjacency-Aware Reinforcement Learning Benedikt Kreis Nils Dengler Jorge de Heuvel Rohit Menon Hamsa Datta Perur Maren Bennewitz 24 0 0 16 Apr 2024
Warm-Start Variational Quantum Policy Iteration Nico Meyer Jakob Murauer Alexander Popov Christian Ufrecht Axel Plinge Christopher Mutschler Daniel D. Scherer 41 2 0 16 Apr 2024
Offline Trajectory Generalization for Offline Reinforcement Learning Ziqi Zhao Zhaochun Ren Liu Yang Fajie Yuan Pengjie Ren Zhumin Chen Jun Ma Xin Xin OffRL 29 1 0 16 Apr 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 58 4 0 12 Apr 2024
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks Nico Meyer Christian Ufrecht Maniraman Periyasamy Axel Plinge Christopher Mutschler Daniel D. Scherer Andreas R. Maier 44 5 0 09 Apr 2024
EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation Tiago Fonseca Luis Lino Ferreira Bernardo Cabral Ricardo Severino Kingsley Nweye Dipanjan Ghose Zoltán Nagy 27 3 0 08 Apr 2024