Michael L. Littman

154 papers and 12.0k indexed citations i.

Michael L. Littman has authored 154 papers that have received a total of 12.0k indexed citations. This includes 114 papers in Artificial Intelligence, 35 papers in Management Science and Operations Research and 19 papers in Computer Networks and Communications. The topics of these papers are Reinforcement Learning in Robotics (68 papers), Machine Learning and Algorithms (27 papers) and Bayesian Modeling and Causal Inference (17 papers). Michael L. Littman is often cited by papers focused on Reinforcement Learning in Robotics (68 papers), Machine Learning and Algorithms (27 papers) and Bayesian Modeling and Causal Inference (17 papers) and collaborates with scholars based in United States, The Netherlands and Canada. Michael L. Littman's co-authors include James MacGlashan, Mark K. Ho, Thomas J. Walsh, David Abel and David L. Roberts and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Communications of the ACM.