Michael R. James

Publication Activity (10 Years)

Years Active: 2004-2018
Publications (10 Years): 5

Top Topics

Dynamical Systems

Decision Making

Probabilistic Modeling

Multiresolution

Top Venues

IEEE Trans. Intell. Veh.

Intelligent Vehicles Symposium

Publications

Kuan-Hui Lee, Yusuke Kanzawa, Matthew Derry, Michael R. James
Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association. Intelligent Vehicles Symposium (2018)
Tomoki Nishi, Prashant Doshi, Michael R. James, Danil V. Prokhorov
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics. CoRR (2017)
Bunyo Okumura, Michael R. James, Yusuke Kanzawa, Matthew Derry, Katsuhiro Sakai, Tomoki Nishi, Danil V. Prokhorov
Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study. IEEE Trans. Intell. Veh. 1 (1) (2016)
Avdhut Joshi, Michael R. James
Generation of Accurate Lane-Level Maps from Coarse Prior Maps and Lidar. IEEE Intell. Transp. Syst. Mag. 7 (1) (2015)
Michael Delp, Naoki Nagasaka, Nobuhide Kamata, Michael R. James
Classifying and Passing 3D Obstacles for Autonomous Driving. ITSC (2015)
Avdhut Joshi, Michael R. James
Joint probabilistic modeling and inference of intersection structure. ITSC (2014)
Satinder P. Singh, Michael R. James, Matthew R. Rudary
Predictive State Representations: A New Theory for Modeling Dynamical Systems CoRR (2012)
Michael R. James, Satinder P. Singh
SarsaLandmark: an algorithm for learning in POMDPs with landmarks. AAMAS (1) (2009)
Britton Wolfe, Michael R. James, Satinder P. Singh
Approximate predictive state representations. AAMAS (1) (2008)
Dmitri A. Dolgov, Michael R. James, Michael E. Samples
Combinatorial resource scheduling for multiagent MDPs. AAMAS (2007)
Michael R. James, Michael E. Samples, Dmitri A. Dolgov
Improving Anytime Point-Based Value Iteration Using Principled Point Selections. IJCAI (2007)
Michael R. James, Ton Wessling, Nikos A. Vlassis
Improving Approximate Value Iteration Using Memories and Predictive State Representations. AAAI (2006)
Britton Wolfe, Michael R. James, Satinder P. Singh
Learning predictive state representations in dynamical systems without reset. ICML (2005)
Michael R. James, Satinder P. Singh
Planning in Models that Combine Memory with Predictive Representations of State. AAAI (2005)
Michael R. James, Britton Wolfe, Satinder P. Singh
Combining Memory and Landmarks with Predictive State Representations. IJCAI (2005)
Michael R. James, Satinder P. Singh, Michael L. Littman
Planning with predictive state representations. ICMLA (2004)
Michael R. James, Satinder P. Singh
Learning and discovery of predictive state representations in dynamical systems with reset. ICML (2004)
Satinder P. Singh, Michael R. James, Matthew R. Rudary
Predictive State Representations: A New Theory for Modeling Dynamical Systems. UAI (2004)