Sparse Reward

A reward function that provides signal only at task completion (success/failure), with zero reward at all intermediate steps. Sparse rewards are the most natural specification (binary success) but the hardest for RL to learn from — the agent must discover successful behavior through random exploration. HER, curriculum learning, and reward shaping address sparse reward learning.