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View Code? Open in Web Editor NEWModified versions of the Soft Actor-Critic algorithm for Atari games from https://github.com/ac-93/soft-actor-critic.
License: MIT License
Modified versions of the Soft Actor-Critic algorithm for Atari games from https://github.com/ac-93/soft-actor-critic.
License: MIT License
According to paper: SOFT ACTOR-CRITIC FOR DISCRETE ACTION SETTINGS, the loss formula (11) for temperature , there is api_t(s_t)
at the very outside of the formula, which is action_probs for discrete actions. But according to the code here:
# alpha loss for temperature parameter
pi_entropy = -tf.reduce_sum(action_probs * log_action_probs, axis=-1)
alpha_backup = tf.stop_gradient(target_entropy - pi_entropy)
alpha_loss = -tf.reduce_mean(log_alpha * alpha_backup)
seems that log_action_probs
only affects log_action_probs
, but not target_entropy
, why?
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