Michael R. James

According to our database, Michael R. James authored at least 21 papers between 2004 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association.

Kuan-Hui Lee, Yusuke Kanzawa, Matthew Derry, Michael R. James

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics.

Tomoki Nishi, Prashant Doshi, Michael R. James, Danil V. Prokhorov

CoRR, 2017

2016

Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study.

Bunyo Okumura, Michael R. James, Yusuke Kanzawa, Matthew Derry, Katsuhiro Sakai, Tomoki Nishi, Danil V. Prokhorov

IEEE Trans. Intell. Veh., 2016

Learning to tell brake lights with convolutional features.

Guangyu Zhong, Yi-Hsuan Tsai, Yi-Ting Chen, Xue Mei, Danil V. Prokhorov, Michael James, Ming-Hsuan Yang

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Generation of Accurate Lane-Level Maps from Coarse Prior Maps and Lidar.

Avdhut Joshi, Michael R. James

IEEE Intell. Transp. Syst. Mag., 2015

Classifying and Passing 3D Obstacles for Autonomous Driving.

Michael Delp, Naoki Nagasaka, Nobuhide Kamata, Michael R. James

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

Joint probabilistic modeling and inference of intersection structure.

Avdhut Joshi, Michael R. James

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2009

SarsaLandmark: an algorithm for learning in POMDPs with landmarks.

Michael R. James, Satinder Singh

Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008

Local line segments as primitives for scene understanding.

Michael James, Dmitri Dolgov

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Approximate predictive state representations.

Britton Wolfe, Michael R. James, Satinder Singh

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007

Improving Anytime Point-Based Value Iteration Using Principled Point Selections.

Michael R. James, Michael E. Samples, Dmitri A. Dolgov

Proceedings of the IJCAI 2007, 2007

Combinatorial resource scheduling for multiagent MDPs.

Dmitri A. Dolgov, Michael R. James, Michael E. Samples

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

2006

Learning predictive state representations using non-blind policies.

Michael H. Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson

Proceedings of the Machine Learning, 2006

Improving Approximate Value Iteration Using Memories and Predictive State Representations.

Michael R. James, Ton Wessling, Nikos Vlassis

Proceedings of the Proceedings, 2006

2005

Using predictions for planning and modeling in *stochastic environments.

Michael R. James

PhD thesis, 2005

Combining Memory and Landmarks with Predictive State Representations.

Michael R. James, Britton Wolfe, Satinder Singh

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning predictive state representations in dynamical systems without reset.

Britton Wolfe, Michael R. James, Satinder Singh

Proceedings of the Machine Learning, 2005

Planning in Models that Combine Memory with Predictive Representations of State.

Michael R. James, Satinder Singh

Proceedings of the Proceedings, 2005

2004

Predictive State Representations: A New Theory for Modeling Dynamical Systems.

Satinder Singh, Michael R. James, Matthew R. Rudary

Proceedings of the UAI '04, 2004

Planning with predictive state representations.

Michael R. James, Satinder Singh, Michael L. Littman

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Learning and discovery of predictive state representations in dynamical systems with reset.

Michael R. James, Satinder Singh

Proceedings of the Machine Learning, 2004