R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Consistency maintenance of replicated data in multiplayer games is a challenging issue due to the performance constraints of real-time interactive applications. We present an appr...
Robert D. S. Fletcher, T. C. Nicholas Graham, Chri...
This paper studies the way to improve consistency of states in a ball-game typed Distributed Virtual Environment (DVE) with lag, in peer-to-peer (P2P) architecture. That is, we ar...
We study observation-based strategies for two-player turn-based games on graphs with omega-regular objectives. An observation-based strategy relies on imperfect information about t...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
This paper presents a method for markerless human motion capture using a single camera. It uses tree-based filtering to efficiently propagate a probability distribution over pos...