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
Builds

rlkit's sandbox limits

All the builds on docs.rs are executed inside a sandbox with limited resources. The limits for this crate are the following:

Available RAM 6.44 GB
Maximum rustdoc execution time 15 minutes
Maximum size of a build log 102.4 kB
Network access blocked
Maximum number of build targets 10

If a build fails because it hit one of those limits please open an issue to get them increased.