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ORCIDMichael R. James 0001
Person information
- affiliation: Toyota Research Institute of North America, Ann Arbor, MI, USA
- affiliation (former): University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Michael R. James — disambiguation page
- Michael James — disambiguation page
- Michael James 0002 — Cerebras Systems, Los Altos, CA, USA
- Michael James 0003 (aka: Michael B. James) — University of California at San Diego, CA, USA
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2010 – 2019
- 2018
[c17]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: 465-470- 2017
- [i2]Tomoki Nishi, Prashant Doshi, Michael R. James, Danil V. Prokhorov:
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics. CoRR abs/1706.01077 (2017) - 2016
- [j2]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): 20-32 (2016) - [c16]Guangyu Zhong, Yi-Hsuan Tsai, Yi-Ting Chen, Xue Mei, Danil V. Prokhorov, Michael James, Ming-Hsuan Yang:
Learning to tell brake lights with convolutional features. ITSC 2016: 1558-1563 - 2015
- [j1]Avdhut Joshi, Michael R. James:
Generation of Accurate Lane-Level Maps from Coarse Prior Maps and Lidar. IEEE Intell. Transp. Syst. Mag. 7(1): 19-29 (2015) - [c15]Michael Delp, Naoki Nagasaka, Nobuhide Kamata, Michael R. James:
Classifying and Passing 3D Obstacles for Autonomous Driving. ITSC 2015: 1240-1247 - 2014
- [c14]Avdhut Joshi, Michael R. James:
Joint probabilistic modeling and inference of intersection structure. ITSC 2014: 1072-1078 - 2012
- [i1]Satinder Singh, Michael R. James, Matthew R. Rudary:
Predictive State Representations: A New Theory for Modeling Dynamical Systems. CoRR abs/1207.4167 (2012)
2000 – 2009
- 2009
- [c13]Michael R. James, Satinder Singh:
SarsaLandmark: an algorithm for learning in POMDPs with landmarks. AAMAS (1) 2009: 585-591 - 2008
- [c12]Britton Wolfe, Michael R. James, Satinder Singh:
Approximate predictive state representations. AAMAS (1) 2008: 363-370 - [c11]Michael James, Dmitri Dolgov:
Local line segments as primitives for scene understanding. IROS 2008: 4188 - 2007
- [c10]Dmitri A. Dolgov, Michael R. James, Michael E. Samples:
Combinatorial resource scheduling for multiagent MDPs. AAMAS 2007: 201 - [c9]Michael R. James, Michael E. Samples, Dmitri A. Dolgov:
Improving Anytime Point-Based Value Iteration Using Principled Point Selections. IJCAI 2007: 865-870 - 2006
- [c8]Michael R. James, Ton Wessling, Nikos Vlassis:
Improving Approximate Value Iteration Using Memories and Predictive State Representations. AAAI 2006: 375-380 - [c7]Michael H. Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson:
Learning predictive state representations using non-blind policies. ICML 2006: 129-136 - 2005
- [b1]Michael R. James:
Using predictions for planning and modeling in *stochastic environments. University of Michigan, USA, 2005 - [c6]Michael R. James, Satinder Singh:
Planning in Models that Combine Memory with Predictive Representations of State. AAAI 2005: 987-992 - [c5]Britton Wolfe, Michael R. James, Satinder Singh:
Learning predictive state representations in dynamical systems without reset. ICML 2005: 980-987 - [c4]Michael R. James, Britton Wolfe, Satinder Singh:
Combining Memory and Landmarks with Predictive State Representations. IJCAI 2005: 734-739 - 2004
- [c3]Michael R. James, Satinder Singh:
Learning and discovery of predictive state representations in dynamical systems with reset. ICML 2004 - [c2]Michael R. James, Satinder Singh, Michael L. Littman:
Planning with predictive state representations. ICMLA 2004: 304-311 - [c1]Satinder Singh, Michael R. James, Matthew R. Rudary:
Predictive State Representations: A New Theory for Modeling Dynamical Systems. UAI 2004: 512-518
Coauthor Index
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