{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Reward Shaping — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Reward Shaping

The practice of modifying or augmenting a reinforcement learning agent's reward signal to make learning faster, more stable, or better directed, for example by providing intermediate rewards for progress toward a goal rather than only rewarding final success. Reward shaping can dramatically improve learning efficiency but must be done carefully to avoid inadvertently incentivizing undesired behaviors.

Source: gaks.ai/glossary/reward-shaping →
"}