Towards an optimal scoring policy for simulated soccer agents

@misc{kok/scoring-policy, abstract = {This paper describes the scoring policy used by the agents of our simulation robot soccer team. In a given situation this policy enables an agent to determine the best shooting point in the goal, together with an associated probability of scoring when the ball is shot to this point. The ball motion can be regarded as a geometrically constrained continuous-time Markov process. Our main contribution is an approximate method for learning relevant statistics of such a process.}, author = {Kok, J. and de Boer, R. and Vlassis, N. }, citeulike-article-id = {2623765}, keywords = {agent, offensice, robocup, scoreing}, posted-at = {2008-04-02 16:32:01}, priority = {2}, title = {Towards an optimal scoring policy for simulated soccer agents}, url = {http://citeseer.ist.psu.edu/kok01towards.html}, year = {2001} }

TY - GEN ID - kok/scoring-policy L3 - citeulike-article-id:2623765 TI - Towards an optimal scoring policy for simulated soccer agents N2 - This paper describes the scoring policy used by the agents of our simulation robot soccer team. In a given situation this policy enables an agent to determine the best shooting point in the goal, together with an associated probability of scoring when the ball is shot to this point. The ball motion can be regarded as a geometrically constrained continuous-time Markov process. Our main contribution is an approximate method for learning relevant statistics of such a process. KW - agent KW - offensice KW - robocup KW - scoreing AU - Kok, J AU - de Boer, R AU - Vlassis, N PY - 2001/// UR - http://citeseer.ist.psu.edu/kok01towards.html ER -