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 (4 years ago)

Commits 58 (last one 3 years ago)

Stargazers 277 (2 this week)

Watchers 7 (0 this week)

Forks 32

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RepositoryStats indexes 595,856 repositories, of these BY571/Soft-Actor-Critic-and-Extensions is ranked #142,859 (76th percentile) for total stargazers, and #271,583 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #24,813/119,431.

BY571/Soft-Actor-Critic-and-Extensions is also tagged with popular topics, for these it's ranked: pytorch (#2,042/6025), reinforcement-learning (#433/1337), parallel-computing (#64/210)

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BY571/Soft-Actor-Critic-and-Extensions has Github issues enabled, there are 4 open issues and 6 closed issues.

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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The only known language in this repository is Python

updated: 2024-12-17 @ 10:00pm, id: 241937413 / R_kgDODmusBQ