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Package to handle Reinforcement Learning functions. This package is nowhere near complete.

Project description

UmbrellaRL

This package is nowhere near complete.

Structure

  • Agent

The Agent represents the logic for reinforcement learning. It contains functions for policy evaluation & calculating a State's value.

  • Policy

The Policy object determines the actions taken by the agent. The Policy object must inherit from the Base Policy class.

  • Environment

The Environment represents the State that the Agent is in. It describes which states are accessible following actions & what their probabilities are.

The Environment depends on the State Space.

  • State Space

The State Space describes the states that the agent can be in. Each State is of type State.

The State Space depends on the State.

  • State

The State represents a singular State that the agent can be in. The State contains the information that describes each State.

Project details


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