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Dynamic Difficulty Adjustment of Game AI by MCTS for the game Pac-Man.

, , , , , and . ICNC, page 3918-3922. IEEE, (2010)

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Knowledge-contribution motivated adaptive neighborhood for multi-agent communities., and . ACM Southeast Regional Conference, page 408-409. ACM, (2004)Computing an Extensive-Form Correlated Equilibrium in Polynomial Time., and . WINE, volume 5385 of Lecture Notes in Computer Science, page 506-513. Springer, (2008)Enabling RDMA Capability of InfiniBand Network for Java Applications., , , , and . NAS, page 187-188. IEEE Computer Society, (2008)Dynamic Difficulty Adjustment of Game AI by MCTS for the game Pac-Man., , , , , and . ICNC, page 3918-3922. IEEE, (2010)Agenda driven mobility modelling., , , , and . Int. J. Ad Hoc Ubiquitous Comput., 5 (1): 22-36 (2010)Dynamic difficulty adjustment realization based on adaptive neuro-controlled game opponent., , , and . IWACI, page 66-71. IEEE, (2010)Constructing an HLM Research Model of Occupational Injuries and Disease Related Factors for Nurses., and . MoMM, page 356-358. ACM, (2014)Recursive Semiblind Channel Estimation in Massive MU-MIMO Systems., , and . GLOBECOM, page 1-6. IEEE, (2017)Optimal resource allocation in underlay cognitive radio networks based on partial CSI., and . BMSB, page 1-4. IEEE, (2016)Brain Stroke Evaluation from Multi-image Modalities Using Image Registration and Segmentation Techniques., and . ICS, volume 274 of Frontiers in Artificial Intelligence and Applications, page 1069-1076. IOS Press, (2014)