Predictive state representations: A new theory for modeling dynamical systems S Singh, M James, M Rudary arXiv preprint arXiv:1207.4167, 2012 | 342 | 2012 |
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 | 120 | 2005 |
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 | 115 | 2004 |
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 | 80 | 2015 |
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 | 77 | 2016 |
Planning with predictive state representations MR James, S Singh, ML Littman 2004 International Conference on Machine Learning and Applications, 2004 …, 2004 | 65 | 2004 |
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 | 62 | 2006 |
Combining Memory and Landmarks with Predictive State Representations. MR James, B Wolfe, S Singh IJCAI, 734-739, 2005 | 35 | 2005 |
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 | 26 | 2016 |
SarsaLandmark: an algorithm for learning in POMDPs with landmarks MR James, S Singh Proceedings of The 8th International Conference on Autonomous Agents and …, 2009 | 24 | 2009 |
Approximate predictive state representations B Wolfe, MR James, S Singh Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 18 | 2008 |
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 | 17 | 2005 |
Learning a real-time 3D point cloud obstacle discriminator via bootstrapping M Samples, MR James Workshop on Robotics and Intelligent Transportation System, 2010 | 15 | 2010 |
Using predictions for planning and modeling in* stochastic environments MR James University of Michigan, 2005 | 15 | 2005 |
Improving approximate value iteration using memories and predictive state representations MR James, T Wessling, N Vlassis National Conf. on Artificial Intelligence, 2006 | 11 | 2006 |
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 | 9 | 2015 |
Joint probabilistic modeling and inference of intersection structure A Joshi, MR James 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 9 | 2014 |
Combinatorial resource scheduling for multiagent MDPs DA Dolgov, MR James, ME Samples Proceedings of the 6th international joint conference on Autonomous agents …, 2007 | 7 | 2007 |
Improving Anytime Point-Based Value Iteration Using Principled Point Selections. MR James, ME Samples, DA Dolgov IJCAI, 865-870, 2007 | 4 | 2007 |
Modeling multiple-mode systems with Predictive State Representations B Wolfe, MR James, S Singh Proceedings of the 13th International IEEE Conference on Intelligent …, 2010 | 3 | 2010 |