Past research has investigated a number of methods for co-ordinating teams of agents, but with the growing number of sources of agents, it is likely that agents will encounter team-mates that do not share their coordination methods. There-fore, it is desirable for agents to adapt to these teammates, forming an effective ad hoc team. Past ad hoc teamwork re-search has focused on cases where the agents do not directly communicate. However when teammates do communicate, it can provide a valuable channel for coordination. Therefore, this paper tackles the problem of communication in ad hoc teams, introducing a minimal version of the multiagent, multi-armed bandit problem with limited communication between the agents. The theoretical results in ...
In multiagent team settings, the agents are often given a protocol for coordinating their actions. W...
We consider a setting where multiple players sequentially choose among a common set of actions (arms...
As autonomous agents proliferate in the real world, both in software and robotic settings, they will...
Past research has investigated a number of methods for co-ordinating teams of agents, but with the g...
With the rising use of autonomous agents within robotic and software settings, agents may be require...
While great strides have been made in multiagent teamwork, existing approaches typically assume exte...
Abstract Ad hoc teams are formed of members who have little or no information regarding one another....
My thesis addresses the problem of planning under teammate behavior uncertainty by introducing the c...
When humans collaborate with each other, they often make decisions by observing others and consideri...
In recent years autonomous agents have become increasingly sophisticated and are able to handle more...
We investigate top-m arm identification, a basic problem in bandit theory, in a multi-agent learning...
A key goal of ad hoc teamwork is to develop a learning agent that cooperates with unknown teams, wit...
In multi-agent systems, intelligent agents interact with one another to achieve either individual or...
We study a multi-agent stochastic linear bandit with side information, parameterized by an unknown v...
We present a formal framework based on the theory of game with incomplete information [5] for modell...
In multiagent team settings, the agents are often given a protocol for coordinating their actions. W...
We consider a setting where multiple players sequentially choose among a common set of actions (arms...
As autonomous agents proliferate in the real world, both in software and robotic settings, they will...
Past research has investigated a number of methods for co-ordinating teams of agents, but with the g...
With the rising use of autonomous agents within robotic and software settings, agents may be require...
While great strides have been made in multiagent teamwork, existing approaches typically assume exte...
Abstract Ad hoc teams are formed of members who have little or no information regarding one another....
My thesis addresses the problem of planning under teammate behavior uncertainty by introducing the c...
When humans collaborate with each other, they often make decisions by observing others and consideri...
In recent years autonomous agents have become increasingly sophisticated and are able to handle more...
We investigate top-m arm identification, a basic problem in bandit theory, in a multi-agent learning...
A key goal of ad hoc teamwork is to develop a learning agent that cooperates with unknown teams, wit...
In multi-agent systems, intelligent agents interact with one another to achieve either individual or...
We study a multi-agent stochastic linear bandit with side information, parameterized by an unknown v...
We present a formal framework based on the theory of game with incomplete information [5] for modell...
In multiagent team settings, the agents are often given a protocol for coordinating their actions. W...
We consider a setting where multiple players sequentially choose among a common set of actions (arms...
As autonomous agents proliferate in the real world, both in software and robotic settings, they will...