Reinforcement learning · MLD-0032
Advantage
The difference between an action's expected value and a baseline such as the state value.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Prefer actions better than the usual outcome in a state.
Original caveat
Estimated advantages can be noisy or biased.
Context and aliases
Level: Intermediate. Stages: Theory · Training · Evaluation.
Tags: RL · DL · SLM · LLM.
Aliases: Advantage function.
Related concepts
Concepts linking here
Original references
- OpenAI Spinning Up: reinforcement learning ↗ · Consulted
- TRL documentation ↗ · Consulted
- Original reference URL ↗