Learning and discovery of predictive state representations in dynamical systems with reset. - Michael R. James 001; Satinder Singh 001 (ICML, 2004)

Planning with predictive state representations. - Michael R. James 001; Satinder Singh 001; Michael L. Littman (ICMLA, 2004)

Predictive State Representations: A New Theory for Modeling Dynamical Systems. - Satinder Singh 001; Michael R. James 001; Matthew R. Rudary (UAI, 2004)

Planning in Models that Combine Memory with Predictive Representations of State. - Michael R. James 001; Satinder Singh 001 (AAAI, 2005)

Learning predictive state representations in dynamical systems without reset. - Britton Wolfe; Michael R. James 001; Satinder Singh 001 (ICML, 2005)

Combining Memory and Landmarks with Predictive State Representations. - Michael R. James 001; Britton Wolfe; Satinder Singh 001 (IJCAI, 2005)

Using predictions for planning and modeling in *stochastic environments. - Michael R. James 001 (2005)

Improving Approximate Value Iteration Using Memories and Predictive State Representations. - Michael R. James 001; Ton Wessling; Nikos Vlassis (AAAI, 2006)

Learning predictive state representations using non-blind policies. - Michael H. Bowling; Peter McCracken; Michael James 001; James Neufeld; Dana F. Wilkinson (ICML, 2006)

Combinatorial resource scheduling for multiagent MDPs. - Dmitri A. Dolgov; Michael R. James 001; Michael E. Samples (AAMAS, 2007)

Improving Anytime Point-Based Value Iteration Using Principled Point Selections. - Michael R. James 001; Michael E. Samples; Dmitri A. Dolgov (IJCAI, 2007)

Approximate predictive state representations. - Britton Wolfe; Michael R. James 001; Satinder Singh 001 (AAMAS (1), 2008)

Local line segments as primitives for scene understanding. - Michael James 001; Dmitri Dolgov (IROS, 2008)

SarsaLandmark: an algorithm for learning in POMDPs with landmarks. - Michael R. James 001; Satinder Singh 001 (AAMAS (1), 2009)

Joint probabilistic modeling and inference of intersection structure. - Avdhut Joshi; Michael R. James 001 (ITSC, 2014)

Classifying and Passing 3D Obstacles for Autonomous Driving. - Michael Delp; Naoki Nagasaka; Nobuhide Kamata; Michael R. James 001 (ITSC, 2015)

Generation of Accurate Lane-Level Maps from Coarse Prior Maps and Lidar. - Avdhut Joshi; Michael R. James 001 (IEEE Intell. Transp. Syst. Mag., 2015)

Learning to tell brake lights with convolutional features. - Guangyu Zhong; Yi-Hsuan Tsai; Yi-Ting Chen 001; Xue Mei; Danil V. Prokhorov; Michael James 001; Ming-Hsuan Yang 001 (ITSC, 2016)

Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study. - Bunyo Okumura; Michael R. James 001; Yusuke Kanzawa; Matthew Derry; Katsuhiro Sakai; Tomoki Nishi; Danil V. Prokhorov (IEEE Trans. Intell. Veh., 2016)

Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics. - Tomoki Nishi; Prashant Doshi; Michael R. James 001; Danil V. Prokhorov (CoRR, 2017)

Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association. - Kuan-Hui Lee; Yusuke Kanzawa; Matthew Derry; Michael R. James 001 (Intelligent Vehicles Symposium, 2018)