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Contents

PURPOSE ^

Multiagent Reinforcement Learning toolbox

SYNOPSIS ^

This is a script file.

DESCRIPTION ^

 Multiagent Reinforcement Learning toolbox
 Version 1.0

 This directory contains learning algorithm implementations

 lrn                   - Template. Implements the learning algorithm of the agent
 lrn_init              - Template. Initializes the agent's learning behaviour
 plainq                - Plain Q-learning
 plainq_init           - Initializes plain Q-learning
 asfq                  - Adaptive state focus Q-learning
 asfq_init             - Initializes ASF-Q learning
 fullstate_plainq      - Full-state plain Q-learning algorithm
 fullstate_plainq_init    - Initializes full-state plain Q-learning
 teamq                 - Team Q-learning
 teamq_init            - Initializes team Q-learning
 wolfq                 - Win-or-Learn-Fast Policy Hill Climbing Q-learning
 wolfq_init            - Initializes WoLF-PHC Q-learning
 minimaxq2             - Minimax Q-learning. Not thoroughly tested
 minimaxq2_init        - Initializes Minimax-Q
 nillearn              - Empty learning behavior
 nillearn_init         - Empty learning behavior initialization

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:
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