375 citations · 1.9k across the 50 of their papers we have counts for
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cs.LG2011★ 1 cited
Two-Manifold Problems
Byron Boots, Geoffrey J. Gordon
Recently, there has been much interest in spectral approaches to learning manifolds---so-called kernel eigenmap methods. These methods have had some successes, but their applicabil…
cs.AI2011★ 375 cited
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★ 255 cited
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…