Multiagent reinforcement learning: theoretical framework and an algorithm Export

@inproceedings{citeulike:1084482, abstract = {In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games to a broader framework. We design a multiagent Q-learning method under this framework, and prove that it converges to a Nash equilibrium under specified conditions. This algorithm is useful for finding the optimal strategy when there exists a unique Nash equilibrium in the game. When there exist multiple Nash equilibria ...}, author = {Hu, Junling and Wellman, Michael P.}, booktitle = {Proc. 15th International Conf. on Machine Learning}, citeulike-article-id = {1084482}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.1313}, keywords = {games, nashequilibrium, reinforcementlearning}, pages = {242--250}, posted-at = {2007-02-02 15:54:10}, priority = {3}, publisher = {Morgan Kaufmann, San Francisco, CA}, title = {Multiagent reinforcement learning: theoretical framework and an algorithm}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.1313}, year = {1998} }

TY - CONF ID - citeulike:1084482 L3 - citeulike-article-id:1084482 N2 - In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games to a broader framework. We design a multiagent Q-learning method under this framework, and prove that it converges to a Nash equilibrium under specified conditions. This algorithm is useful for finding the optimal strategy when there exists a unique Nash equilibrium in the game. When there exist multiple Nash equilibria ... EP - 250 TI - Multiagent reinforcement learning: theoretical framework and an algorithm PB - Morgan Kaufmann, San Francisco, CA T2 - Proc. 15th International Conf. on Machine Learning SP - 242 KW - games KW - nashequilibrium KW - reinforcementlearning AU - Hu, Junling AU - Wellman, Michael PY - 1998/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.1313 ER -