Module Fehu

Fehu

Reinforcement learning environments and utilities.

Core

  • Value Universal value type.
  • Info Step metadata dictionaries.
  • Space Observation and action spaces.
  • Env Reinforcement learning environments.

Collection and training

  • Collect Trajectory collection from environments.
  • Buffer Replay buffer for off-policy experience storage.
  • Gae Generalized Advantage Estimation.
  • Eval Policy evaluation.

Composition

module Value : sig ... end

Universal value type.

module Info : sig ... end

Step metadata dictionaries.

module Space : sig ... end

Observation and action spaces.

module Env : sig ... end

Reinforcement learning environments.

module Vec_env : sig ... end

Vectorized environments.

module Collect : sig ... end

Trajectory collection from environments.

module Buffer : sig ... end

Replay buffer for off-policy experience storage.

module Gae : sig ... end

Generalized Advantage Estimation.

module Eval : sig ... end

Policy evaluation.

module Render : sig ... end

Visualization primitives.