OpenAI Gym

OpenAI Gym. OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection of benchmark problems that expose a common interface, and a website where people can share their results and compare the performance of algorithms. This whitepaper discusses the components of OpenAI Gym and the design decisions that went into the software.

References in zbMATH (referenced in 33 articles )

Showing results 1 to 20 of 33.
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  1. Aebel Joe Shibu, Sadhana S, Shilpa N, Pratyush Kumar: VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning (2021) arXiv
  2. Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi: Ecole: A Library for Learning Inside MILP Solvers (2021) arXiv
  3. Erdem Bıyık, Aditi Talati, Dorsa Sadigh: APReL: A Library for Active Preference-based Reward Learning Algorithms (2021) arXiv
  4. Paris, Romain; Beneddine, Samir; Dandois, Julien: Robust flow control and optimal sensor placement using deep reinforcement learning (2021)
  5. Robert J. Moss: POMDPStressTesting.jl: Adaptive Stress Testing for Black-Box Systems (2021) not zbMATH
  6. Santara, Anirban; Rudra, Sohan; Buridi, Sree Aditya; Kaushik, Meha; Naik, Abhishek; Kaul, Bharat; Ravindran, Balaraman: MADRaS : multi agent driving simulator (2021)
  7. Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer: DACBench: A Benchmark Library for Dynamic Algorithm Configuration (2021) arXiv
  8. Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni: Avalanche: an End-to-End Library for Continual Learning (2021) arXiv
  9. Bard, Nolan; Foerster, Jakob N.; Chandar, Sarath; Burch, Neil; Lanctot, Marc; Song, H. Francis; Parisotto, Emilio; Dumoulin, Vincent; Moitra, Subhodeep; Hughes, Edward; Dunning, Iain; Mourad, Shibl; Larochelle, Hugo; Bellemare, Marc G.; Bowling, Michael: The Hanabi challenge: a new frontier for AI research (2020)
  10. Chen, Si-An; Tangkaratt, Voot; Lin, Hsuan-Tien; Sugiyama, Masashi: Active deep Q-learning with demonstration (2020)
  11. Christian D. Hubbs, Hector D. Perez, Owais Sarwar, Nikolaos V. Sahinidis, Ignacio E. Grossmann, John M. Wassick: OR-Gym: A Reinforcement Learning Library for Operations Research Problem (2020) arXiv
  12. Gonzague Henri, Tanguy Levent, Avishai Halev, Reda Alami, Philippe Cordier: pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research (2020) arXiv
  13. Millidge, Beren: Deep active inference as variational policy gradients (2020)
  14. Ruehle, Fabian: Data science applications to string theory (2020)
  15. Stefan Heid; Daniel Weber; Henrik Bode; Eyke Hüllermeier; Oliver Wallscheid: OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control (2020) not zbMATH
  16. Thalmeier, Dominik; Kappen, Hilbert J.; Totaro, Simone; Gómez, Vicenç: Adaptive smoothing for path integral control (2020)
  17. Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang: FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance (2020) arXiv
  18. Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong: RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library (2020) arXiv
  19. Bilinski, Mark; Ferguson-Walter, Kimberly; Fugate, Sunny; Gabrys, Ryan; Mauger, Justin; Souza, Brian: You only lie twice: a multi-round cyber deception game of questionable veracity (2019)
  20. Fan Fei, Zhan Tu, Yilun Yang, Jian Zhang, Xinyan Deng: Flappy Hummingbird: An Open Source Dynamic Simulation of Flapping Wing Robots and Animals (2019) arXiv

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