Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
This paper studies a way to improve consistency of states in a ball game typed DVE with lag, in P2P architecture. We also study how to control shared objects in real-time in a ser...
Local perception filters exploit the limitations of human perception to reduce the effects of network latency in multiplayer computer games. Because they allow temporal distorti...
Procedural methods have long been used for generation of art assets, but procedural generation of scenarios has lagged behind. In particular, training games for emergency rescue w...
Planning in domains with temporal and numerical properties is an important research problem. One application of this is the resource production problem in real-time strategy (RTS)...
Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, Chri...