Intermediate · Reinforcement Learning
Action space
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. The set of all possible actions an agent can take to interact with its environment.
Technical Definition
The set of all possible actions an agent can take to interact with its environment.
How it works
The action space defines all the possible actions an agent can perform within its environment. This includes the specific tools, APIs, or commands the agent can utilize. Designing an appropriate action space is crucial: if it's too limited, the agent might not be able to complete its task; if it's too broad, the agent may struggle to learn effectively and make more errors.
Related Concepts
- Reinforcement Learning — A paradigm where an agent learns to make decisions by receiving rewards or penalties from its environment through trial and error.
- AI Agent — An AI system that autonomously plans, uses tools, and takes actions to accomplish goals through iterative reasoning.
- Policy — In reinforcement learning, the strategy an agent follows to choose actions given a state.