Robustly cooperating with unseen agents and human partners presents
sign...
Training a team to complete a complex task via multi-agent reinforcement...
Open ad hoc teamwork is the problem of training a single agent to effici...
The development of autonomous agents which can interact with other agent...
Ad hoc teamwork (AHT) is the problem of creating an agent that must
coll...
We propose the novel few-shot teamwork (FST) problem, where skilled agen...
While research in ad hoc teamwork has great potential for solving real-w...
Ad hoc teamwork is the well-established research problem of designing ag...
Recognising the goals or intentions of observed vehicles is a key step
t...
Sharing parameters in multi-agent deep reinforcement learning has played...
Ad hoc teamwork is the challenging problem of designing an autonomous ag...
Recent developments in deep reinforcement learning are concerned with
cr...