Agent Integration¶

This page contains the reference documentation for the Maze agent integration components.

`AgentExecution`	Executes the provided policies in an Agent Integration setting.
`AgentIntegration`	Encapsulates an agent, space interfaces and a stack of wrappers, to make the agent’s MazeActions accessible to an external env.
`ActionCandidates`	Action object for encapsulation of multiple action objects along with their respective probabilities.
`MazeActionCandidates`	MazeAction object for encapsulation of multiple MazeAction objects along with their respective probabilities.
`ActionConversionCandidatesInterface`	Wrapper for action conversion interface when working with multiple candidate actions/MazeActions.
`ExternalCoreEnvRewardAggregator`	Reward aggregator for summing up rewards that come as iterables from external env.
`ExternalCoreEnv`	Acts as a CoreEnv in the env stack in agent integration scenario.