Glossary

This is a community-created glossary. Contributions are welcome!

Agent

An agent learns to make decisions by trial and error, with rewards and punishments from the surroundings.

Environment

An environment is a simulated world where an agent can learn by interacting with it.

Markov Property

It implies that the action taken by our agent is conditional solely on the present state and independent of the past states and actions.

Observations/State

Actions

Rewards and Discounting

Tasks

Exploration v/s Exploitation Trade-Off

Policy

Policy-based Methods:

Value-based Methods:

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