BY571 / Soft-Actor-Critic-and-Extensions

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Date Created 2020-02-20 (5 years ago)

Commits 58 (last one 4 years ago)

Stargazers 286 (0 this week)

Watchers 6 (0 this week)

Forks 32

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RepositoryStats indexes 633,911 repositories, of these BY571/Soft-Actor-Critic-and-Extensions is ranked #145,190 (77th percentile) for total stargazers, and #290,121 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #25,702/129,643.

BY571/Soft-Actor-Critic-and-Extensions is also tagged with popular topics, for these it's ranked: pytorch (#2,055/6224), reinforcement-learning (#452/1455), parallel-computing (#67/218)

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All Topics

sac d2rl pytorch continuous munchausen multi-environment soft-actor-critic parallel-computing actor-critic-algorithm reinforcement-learning emphasizing-recent-experience prioritized-experience-replay munchausen-reinforcement-learning reinforcement-learning-algorithms

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updated: 2025-03-07 @ 07:04am, id: 241937413 / R_kgDODmusBQ