From post

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.

 

Другие публикации лиц с тем же именем

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark., , , , , , , , , и 13 other автор(ы). NeurIPS (Competition and Demos), том 133 из Proceedings of Machine Learning Research, стр. 361-395. PMLR, (2020)The Sound Demixing Challenge 2023 - Cinematic Demixing Track., , , , , , , , , и 7 other автор(ы). Trans. Int. Soc. Music. Inf. Retr., 7 (1): 44-62 (января 2024)Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning., , , , , , , , , и 23 other автор(ы). CoRR, (2024)The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior., , , , , , , , , и 7 other автор(ы). CoRR, (2022)CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms., , , , , , и . J. Mach. Learn. Res., (2022)Insights From the NeurIPS 2021 NetHack Challenge., , , , , , , , , и 19 other автор(ы). NeurIPS (Competition and Demos), том 176 из Proceedings of Machine Learning Research, стр. 41-52. PMLR, (2021)Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark., , , , , , , , , и 13 other автор(ы). CoRR, (2021)Insights From the NeurIPS 2021 NetHack Challenge., , , , , , , , , и 19 other автор(ы). CoRR, (2022)The Sound Demixing Challenge 2023 - Cinematic Demixing Track., , , , , , , , , и 7 other автор(ы). CoRR, (2023)MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior., , , , , , , , , и 13 other автор(ы). ICML, том 202 из Proceedings of Machine Learning Research, стр. 32936-32990. PMLR, (2023)