Michael R. James

19 papers A* 6A 2B 1C 1Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2018 B conf
Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association.
Intelligent Vehicles Symposium
Kuan-Hui Lee, Yusuke Kanzawa, Matthew Derry, Michael R. James
2017 J jnl
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics.
CoRR
Tomoki Nishi, Prashant Doshi, Michael R. James, Danil V. Prokhorov
2016 J jnl
Challenges in Perception and Decision Making for Intelligent Automotive Vehicles: A Case Study.
IEEE Trans. Intell. Veh.
Bunyo Okumura, Michael R. James, Yusuke Kanzawa, Matthew Derry, Katsuhiro Sakai, Tomoki Nishi, Danil V. Prokhorov
2015 — conf
Classifying and Passing 3D Obstacles for Autonomous Driving.
ITSC
Michael Delp, Naoki Nagasaka, Nobuhide Kamata, Michael R. James
2015 J jnl
Generation of Accurate Lane-Level Maps from Coarse Prior Maps and Lidar.
IEEE Intell. Transp. Syst. Mag.
Avdhut Joshi, Michael R. James
2014 — conf
Joint probabilistic modeling and inference of intersection structure.
ITSC
Avdhut Joshi, Michael R. James
2012 J jnl
Predictive State Representations: A New Theory for Modeling Dynamical Systems
CoRR
Satinder Singh, Michael R. James, Matthew R. Rudary
2009 — conf
SarsaLandmark: an algorithm for learning in POMDPs with landmarks.
AAMAS (1)
Michael R. James, Satinder Singh
2008 — conf
Approximate predictive state representations.
AAMAS (1)
Britton Wolfe, Michael R. James, Satinder Singh
2007 A conf
Combinatorial resource scheduling for multiagent MDPs.
AAMAS
Dmitri A. Dolgov, Michael R. James, Michael E. Samples
2007 A* conf
Improving Anytime Point-Based Value Iteration Using Principled Point Selections.
IJCAI
Michael R. James, Michael E. Samples, Dmitri A. Dolgov
2006 A* conf
Improving Approximate Value Iteration Using Memories and Predictive State Representations.
AAAI
Michael R. James, Ton Wessling, Nikos Vlassis
2005 A* conf
Combining Memory and Landmarks with Predictive State Representations.
IJCAI
Michael R. James, Britton Wolfe, Satinder Singh
2005 A* conf
Learning predictive state representations in dynamical systems without reset.
ICML
Britton Wolfe, Michael R. James, Satinder Singh
2005 A* conf
Planning in Models that Combine Memory with Predictive Representations of State.
AAAI
Michael R. James, Satinder Singh
2005 — —
Using predictions for planning and modeling in *stochastic environments.
Michael R. James
2004 A* conf
Learning and discovery of predictive state representations in dynamical systems with reset.
ICML
Michael R. James, Satinder Singh
2004 C conf
Planning with predictive state representations.
ICMLA
Michael R. James, Satinder Singh, Michael L. Littman
2004 A conf
Predictive State Representations: A New Theory for Modeling Dynamical Systems.
UAI
Satinder Singh, Michael R. James, Matthew R. Rudary