Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
The information resources on the Web are vast, but much of the Web is based on a browsing paradigm that requires someone to actively seek information. Instead, one would like to h...
While recent advancements in virtual reality technology have created a rich communication interface linking humans and computers, there has been little work on building dialogue s...
We present a formal framework of an autonomous agent as a collection of coordinated control loops, with a recurring sense, plan, act cycle. Our framework manages the information f...
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...