Module bc 

Behavioral Cloning (BC) — supervised imitation learning.

Behavioral cloning trains a policy to reproduce expert actions from a fixed dataset of (observation, action) pairs via supervised cross-entropy. It lands as a sibling module to crate::train::a2c, reusing the same policy/optimizer infrastructure with a plain supervised epoch loop in place of an environment-interaction loop.

This module is built incrementally by the BC decomposition (#161):

• BcConfig — supervised hyperparameters (builder + validate()), mirroring crate::train::a2c::A2cConfig (#164).
• Demonstrations — the fixed expert dataset serving seeded minibatches (#164).
• compute_bc_loss — the supervised cross-entropy loss, and BcTrainer — the supervised epoch loop over the dataset (#167).

Re-exports

pub use config::BcConfig;

pub use dataset::Demonstrations;

pub use loss::compute_bc_loss;

pub use trainer::BcEpochStats;

pub use trainer::BcTrainer;

Modules

config

Behavioral Cloning (BC) configuration and hyperparameters.

dataset

Fixed dataset of expert demonstrations for Behavioral Cloning.

loss

Behavioral Cloning loss math (Burn backend).

trainer

Behavioral Cloning trainer (Burn backend).