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unilab.base.curriculum.PenaltyCurriculum

class unilab.base.curriculum.PenaltyCurriculum

Bases: object

Adaptive penalty scaling based on episode length.

Parameters:

• env (Any)

• enabled (bool)

• initial_scale (float)

• min_scale (float)

• max_scale (float)

• level_down_threshold (float)

• level_up_threshold (float)

• degree (float)

Methods

__init__(env[, enabled, initial_scale, ...])
update(average_episode_length)	Update penalty scale based on average episode length.

__init__(env, enabled=True, initial_scale=0.5, min_scale=0.5, max_scale=1.0, level_down_threshold=150.0, level_up_threshold=750.0, degree=0.001)

Parameters:

• env (Any)

• enabled (bool)

• initial_scale (float)

• min_scale (float)

• max_scale (float)

• level_down_threshold (float)

• level_up_threshold (float)

• degree (float)

update(average_episode_length)

Update penalty scale based on average episode length.

Parameters:

average_episode_length (float)

Return type:

None