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Michael R James
Michael R James
Waymo
Verified email at waymo.com
Title
Cited by
Cited by
Year
Predictive state representations: A new theory for modeling dynamical systems
S Singh, M James, M Rudary
arXiv preprint arXiv:1207.4167, 2012
3092012
Learning predictive state representations in dynamical systems without reset
B Wolfe, MR James, S Singh
Proceedings of the 22nd international conference on Machine learning, 980-987, 2005
1182005
Learning and discovery of predictive state representations in dynamical systems with reset
MR James, S Singh
Proceedings of the twenty-first international conference on Machine learning, 53, 2004
1062004
Generation of accurate lane-level maps from coarse prior maps and lidar
A Joshi, MR James
IEEE Intelligent Transportation Systems Magazine 7 (1), 19-29, 2015
692015
Planning with predictive state representations
MR James, S Singh, ML Littman
2004 International Conference on Machine Learning and Applications, 2004 …, 2004
612004
Learning predictive state representations using non-blind policies
M Bowling, P McCracken, M James, J Neufeld, D Wilkinson
Proceedings of the 23rd international conference on Machine learning, 129-136, 2006
582006
Challenges in perception and decision making for intelligent automotive vehicles: A case study
B Okumura, MR James, Y Kanzawa, M Derry, K Sakai, T Nishi, ...
IEEE Transactions on Intelligent Vehicles 1 (1), 20-32, 2016
472016
Combining Memory and Landmarks with Predictive State Representations.
MR James, B Wolfe, SP Singh
IJCAI, 734-739, 2005
332005
SarsaLandmark: an algorithm for learning in POMDPs with landmarks
MR James, S Singh
Proceedings of The 8th International Conference on Autonomous Agents and …, 2009
182009
Approximate predictive state representations
B Wolfe, MR James, S Singh
Proceedings of the 7th international joint conference on Autonomous agents …, 2008
182008
Learning to tell brake lights with convolutional features
G Zhong, YH Tsai, YT Chen, X Mei, D Prokhorov, M James, MH Yang
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
152016
Using predictions for planning and modeling in* stochastic environments
MR James
University of Michigan, 2005
152005
Planning in models that combine memory with predictive representations of state
MR James, S Singh
AAAI, 987-992, 2005
152005
Learning a real-time 3D point cloud obstacle discriminator via bootstrapping
M Samples, MR James
Workshop on Robotics and Intelligent Transportation System, 2010
142010
Improving approximate value iteration using memories and predictive state representations
MR James, T Wessling, N Vlassis
Proc. National Conf. on Artificial Intelligence, 2006
112006
Classifying and passing 3D obstacles for autonomous driving
M Delp, N Nagasaka, N Kamata, MR James
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
102015
Joint probabilistic modeling and inference of intersection structure
A Joshi, MR James
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
62014
Improving Anytime Point-Based Value Iteration Using Principled Point Selections.
MR James, ME Samples, DA Dolgov
IJCAI, 865-870, 2007
42007
Combinatorial resource scheduling for multiagent MDPs
DA Dolgov, MR James, ME Samples
Proceedings of the 6th international joint conference on Autonomous agents …, 2007
32007
Modeling multiple-mode systems with Predictive State Representations
B Wolfe, MR James, S Singh
Proceedings of the 13th International IEEE Conference on Intelligent …, 2010
22010
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