Multiagent Reinforcement Learning toolbox Version 1.0 This directory contains action selection algorithm implementations act - Template. Chooses an action for the agent asfq_greedyact - Deterministic greedy action selection for adaptive state focus Q-learning fullstate_greedyact - Deterministic full-state greedy action selection fullstate_stochact - Stochastic action selection for policy indexed on full world state greedyact - Deterministic greedy action selection for Q-learners pigreedyact - Greedy policy-based action selection for policy indexed on agent's state staticact - Static (non-learning) action selection policies stochact - Stochastic action selection for policy indexed on agent's state teamgreedyact - Deterministic greedy action selection for full-state, joint action Q-learners