Contents | Multiagent Reinforcement Learning toolbox |
act | Template. Chooses an action for the agent |
asfq_greedyact | Implements deterministic greedy action selection for adaptive state focus Q-learning |
detpiact | Implements action selection on the basis of deterministic policy |
fullstate_greedyact | Implements deterministic full-state greedy action selection |
fullstate_stochact | Implements stochastic action selection for policy indexed on full world state |
greedyact | Implements deterministic greedy action selection for Q-learners |
pigreedyact | Implements greedy policy-based action selection for policy indexed on agent's state |
staticact | Implements some static action selection algorithms |
stochact | Implements stochastic action selection for policy indexed on agent's state |
teamgreedyact | Implements deterministic greedy action selection for full-state, joint action Q-learners |