Package to handle Reinforcement Learning functions. This package is nowhere near complete.
Project description
UmbrellaRL
This package is nowhere near complete.
Structure
The Agent represents the logic for reinforcement learning. It contains functions for policy evaluation & calculating a State's value.
The Policy object determines the actions taken by the agent. The Policy object must inherit from the Base Policy class.
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.
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.
The State represents a singular State that the agent can be in. The State contains the information that describes each State.
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