ray.rllib.policy.policy.Policy.get_weights#

Policy.get_weights() dict[source]#

Returns model weights.

Note: The return value of this method will reside under the “weights” key in the return value of Policy.get_state(). Model weights are only one part of a Policy’s state. Other state information contains: optimizer variables, exploration state, and global state vars such as the sampling timestep.

Returns:

Serializable copy or view of model weights.