Glossary term
Glossary term
Agentic Systems
In reinforcement learning, the world that contains the agent and allows the agent to observe that world's state. For example, the represented world can be a game like chess, or a physical world like a maze. When the agent applies an action to the environment, then the environment transitions between states.
Created for this library
A robotics research team builds a simulated environment that matches its warehouse so RL policies can train safely before deployment.
A trading research team uses a market simulator as the environment for training and evaluating execution policies offline.
A logistics startup builds a routing environment with traffic data so its dispatching agent can be trained on realistic scenarios before going live.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License