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rlkit

v0.0.3 Experimental

A deep reinforcement learning library based on Rust and Candle, providing complete implementations of Q-Learning and DQN algorithms, supporting custom environments, various policy choices, and flexible training configurations. Future support will include more reinforcement learning algorithms, such as DDPG, PPO, A2C, etc.

MIT Edition 2021

Quick Verdict

  • !Pre-1.0: API may have breaking changes
  • โœ“Permissive license (MIT)

Security

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Downloads
834
Dependents
0
Releases
3
Size
57KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

6 downloads in the last 30 days (0/day), up 50% from the previous period.

Health Breakdown

Maintenance 12/25

Recency, release consistency, active ratio

Quality 14/25

Yanked ratio, deps, size, maturity, features

Community 1/20

Reverse deps, ownership, ecosystem

Popularity 3/15

Downloads, momentum, growth trend

Documentation 10/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
0/day avg+0%
012312/291/162/32/213/113/28

Version Adoption

v0.0.3
36%
v0.0.2
32%
v0.0.1
32%

Release Timeline

3 releasessince 2025
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Feature Flags

cuda

README

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Maintainers

Dependencies
7
direct dependencies
Dependents
0
crates depend on rlkit