Potential-based reward shaping preserves optimality of stochastic policies and accelerates learning when added to soft Q-learning and advantage actor-critic algorithms.
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Potential-Based Advice for Stochastic Policy Learning
Potential-based reward shaping preserves optimality of stochastic policies and accelerates learning when added to soft Q-learning and advantage actor-critic algorithms.