Multi-agent Learning

Teams of agents have the potential for accomplishing tasks that are beyond the capabilities of a single agent. An excellent and demanding example of multi-agent cooperation is in robot soccer. Research in multi-agent learning will focus on:

1. Designing structures for learning in a hierarchy of goals;
2. multi-agent, cooperative, reinforcement learning; and
3. representations of belief-desire-intentions (BDI) of agents, auction algorithms and other mechanisms for learning joint utility from agent interactions. 

Research in multi-agent learning will be led by Alan Blair.