📕 subnode [[@KGBicheno/environment]]
in 📚 node [[environment]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Environment.md by @KGBicheno
environment
Go back to the [[AI Glossary]]
#rl
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.
📖 stoas
- public document at doc.anagora.org/environment
- video call at meet.jit.si/environment