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