jaxdem.rl#

Experimental reinforcement-learning models, environments, and trainers.

RL has a separate regression matrix and a narrower compatibility promise than the DEM core. See the RL support contract in the user guide.

Modules

action_spaces

Interface for bijectors that constrain the policy probability distribution.

env_wrappers

Wrappers that modify RL environments.

environments

Reinforcement-learning environment interface.

models

Interface for defining reinforcement learning models.

trainers

Interface for defining reinforcement learning model trainers.