Value Function

A learning paradigm where an agent interacts with an environment and learns to choose actions to maximize cumulative ...

Expected return of taking action in a state.

Fundamental recursive relationship defining optimal value functions.

Expected return of taking action in a state.

Fundamental recursive relationship defining optimal value functions.

Optimizing policies directly via gradient ascent on expected reward.

Combines value estimation (critic) with policy learning (actor).

Formal framework for sequential decision-making under uncertainty.

All possible configurations an agent may encounter.

Set of all actions available to the agent.

Strategy mapping states to actions.