rlkit 0.0.3

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.
Documentation
  • Feature flags
  • cuda

rlkit

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 1 feature flags, 0 of them enabled by default.

cuda