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Contents

PURPOSE ^

Multiagent Reinforcement Learning toolbox

SYNOPSIS ^

This is a script file.

DESCRIPTION ^

 Multiagent Reinforcement Learning toolbox
 Version 1.2

 This directory contains the main control functions of the toolbox.

 learn             - Implements the learning control mechanism
 replay            - Replays the agents' current policies
 episodic_learn    - Implements the learning control mechanism in an episodic environment
 episodic_replay   - Replays the agents' current policies in an episodic environment
 startuprl         - Startup script for MA-RL toolbox
 cleanuprl         - Cleans up the paths added by the MA-RL startup script
 Changelog         - A changelog for the MA-RL toolbox

 Subdirectories:
 /agent            - Contains the functions and templates for implementing the agent behaviour
 /world            - Contains the functions and templates for implementing worlds (tasks)
 /batch            - Contains utility functions for running and processing batches of experiments
 /lib              - Contains library functions required by the MARL toolbox
 /rldemo           - Contains demonstrations of the usage and features of the MARL toolbox

CROSS-REFERENCE INFORMATION ^

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