Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach

Potential-based reward shaping incorporates prior domain knowledge in the form of additional rewards provided during training to speed up convergence of reinforcement learning algorithms, without changing the optimal policies (Ng et al. [1999]).