Abstract— This paper compares the use of temporal difference learning (TDL) versus co-evolutionary learning (CEL) for acquiring position evaluation functions for the game of Othe...
Tabletops have been used to support a range of colocated activities, from games to image sorting. However, their limited display space and resolution can restrict the kinds of col...
Yvonne Rogers, Youn-Kyung Lim, William R. Hazlewoo...
In the last decade, consumer graphics cards have increased their power because of the computer games industry. These cards are now programmable and capable of processing huge amoun...
We initiate the study of mechanisms with verification for one-parameter agents. We give an algorithmic characterization of such mechanisms and show that they are provably better ...
Vincenzo Auletta, Roberto De Prisco, Paolo Penna, ...
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...