papers
Publications (3)
cs.AI2011
Anytime Point-Based Approximations for Large POMDPs
J. Pineau, G. Gordon, S. Thrun
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact so…
cs.AI2011
Finding Approximate POMDP solutions Through Belief Compression
N. Roy, G. Gordon, S. Thrun
Standard value function approaches to finding policies for Partially Observable Markov Decision Processes (POMDPs) are generally considered to be intractable for large models. The…
cs.AI2011
Markov Localization for Mobile Robots in Dynamic Environments
W. Burgard, D. Fox, S. Thrun
Localization, that is the estimation of a robot's location from sensor data, is a fundamental problem in mobile robotics. This papers presents a version of Markov localization whic…