Understanding Reward Shaping in Planning: A Theoretical and Empirical Analysis
Reward design is a critical yet often underexplored component of reinforcement learning for planning problems. In this work we analyze how different reward shaping strategies affect learning performance when using Proximal Policy Optimization (PPO). We evaluate several reward formulations derived from the objective fun...