A constant bias added to a potential-based reward shaping function, set to compensate the external reward and the initial Q-values, improves sample efficiency while preserving the optimal policy.
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Improving the Effectiveness of Potential-Based Reward Shaping in Reinforcement Learning
A constant bias added to a potential-based reward shaping function, set to compensate the external reward and the initial Q-values, improves sample efficiency while preserving the optimal policy.