Document gSDE inference behavior for PPO, SAC, and A2C #2167
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Fixes #1767
This PR adds documentation clarifying the behavior of gSDE (Generalized State-Dependent Exploration) during inference for models trained with
use_sde=True
.Problem
When using models trained with gSDE, users expect that setting
deterministic=False
inmodel.predict()
would provide stochastic behavior similar to training. However, the automatic noise resetting controlled bysde_sample_freq
during training does not occur during inference, resulting in deterministic behavior even whendeterministic=False
.Solution
Added informative notes to the documentation of PPO, SAC, and A2C explaining:
model.predict()
does not automatically reset noise, leading to deterministic behavior even withdeterministic=False
model.policy.reset_noise(env.num_envs)
at appropriate intervalsExample of the documented behavior
The documentation changes are minimal and focused, adding clear guidance without modifying any code behavior. This addresses the user's question and provides practical guidance for proper gSDE usage during inference.
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