ion-Based Versus Potential-Aware Automated Abstraction in Imperfect Information Games: An Experimental Comparison Using Poker Andrew Gilpin and Tuomas Sandholm Computer Science Dep...
Personalized information agents can help overcome some of the limitations of communal Web information sources such as portals and search engines. Two important components of these...
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
This essay investigates the peculiar situation of a new media project which takes as its raw material the home-video archive of a deaf man gone blind. In an attempt to revive this...
In many two-sided search applications, autonomous agents can enjoy the advantage of parallel search, powered by their ability to handle an enormous amount of information, in a shor...