Reward Engineering

The process of designing a scalar reward function that encodes the desired robot behavior for RL training. Good reward engineering provides dense feedback that guides learning without introducing unintended shortcuts. Common pitfalls: reward hacking (optimizing the reward proxy rather than the intended behavior) and sparse rewards (learning signal too infrequent).