Author of the publication

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms.

, , , , , , and . J. Mach. Learn. Res., (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark., , , , , , , , , and 13 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 361-395. PMLR, (2020)Insights From the NeurIPS 2021 NetHack Challenge., , , , , , , , , and 19 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 41-52. PMLR, (2021)CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms., , , , , , and . J. Mach. Learn. Res., (2022)MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior., , , , , , , , , and 13 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 32936-32990. PMLR, (2023)The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions., , , , , , , , , and 1 other author(s). NeurIPS Datasets and Benchmarks, (2021)The CityLearn Challenge 2022: Overview, Results, and Lessons Learned., , , , , , , , , and 16 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 85-103. PMLR, (2021)