Reinforcement learning · MLD-1042
Reward shaping
Modifying reward signals to guide learning toward useful behavior.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Add progress feedback to a sparse-reward task.
Original caveat
Arbitrary shaping can change the optimal policy.
Context and aliases
Level: Intermediate. Stages: Theory · Training · Evaluation.
Tags: RL · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- OpenAI Spinning Up: reinforcement learning ↗ · Consulted
- TRL documentation ↗ · Consulted
- Original reference URL ↗