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Michael R James
Michael R James
Waymo
Email verificata su waymo.com
Titolo
Citata da
Citata da
Anno
Predictive state representations: A new theory for modeling dynamical systems
S Singh, M James, M Rudary
arXiv preprint arXiv:1207.4167, 2012
3422012
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
1202005
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
1152004
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
802015
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
772016
Planning with predictive state representations
MR James, S Singh, ML Littman
2004 International Conference on Machine Learning and Applications, 2004 …, 2004
652004
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
622006
Combining Memory and Landmarks with Predictive State Representations.
MR James, B Wolfe, S Singh
IJCAI, 734-739, 2005
352005
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
262016
SarsaLandmark: an algorithm for learning in POMDPs with landmarks
MR James, S Singh
Proceedings of The 8th International Conference on Autonomous Agents and …, 2009
242009
Approximate predictive state representations
B Wolfe, MR James, S Singh
Proceedings of the 7th international joint conference on Autonomous agents …, 2008
182008
Planning in models that combine memory with predictive representations of state
MR James, S Singh
PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 20 (2), 987, 2005
172005
Learning a real-time 3D point cloud obstacle discriminator via bootstrapping
M Samples, MR James
Workshop on Robotics and Intelligent Transportation System, 2010
152010
Using predictions for planning and modeling in* stochastic environments
MR James
University of Michigan, 2005
152005
Improving approximate value iteration using memories and predictive state representations
MR James, T Wessling, N Vlassis
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
92015
Joint probabilistic modeling and inference of intersection structure
A Joshi, MR James
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
92014
Combinatorial resource scheduling for multiagent MDPs
DA Dolgov, MR James, ME Samples
Proceedings of the 6th international joint conference on Autonomous agents …, 2007
72007
Improving Anytime Point-Based Value Iteration Using Principled Point Selections.
MR James, ME Samples, DA Dolgov
IJCAI, 865-870, 2007
42007
Modeling multiple-mode systems with Predictive State Representations
B Wolfe, MR James, S Singh
Proceedings of the 13th International IEEE Conference on Intelligent …, 2010
32010
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