Expand description
A minimal reinforcement-learning framework.
Modulesยง
- 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.