[−][src]Crate rlr
A minimal reinforcement-learning framework.
Modules
actions | Actions represent steps that can be taken to transition a model from one state to another. |
agents | Agents facilitate the learning process for a model. |
errors | Error types associated with the reinforcement learning process. |
states | States represent the disposition of a model at some point. |
stats | Statistics that aid in the learning process. |