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AIPS
2007
15 years 8 months ago
Concurrent Probabilistic Temporal Planning with Policy-Gradients
We present an any-time concurrent probabilistic temporal planner that includes continuous and discrete uncertainties and metric functions. Our approach is a direct policy search t...
Douglas Aberdeen, Olivier Buffet
MASCOTS
2003
15 years 7 months ago
System-Level Simulation Modeling with MLDesigner
System-level design presents special simulation modeling challenges. System-level models address the architectural and functional performance of complex systems. Systems are decom...
Gunar Schorcht, Ian A. Troxel, Keyvan Farhangian, ...
NIPS
2003
15 years 7 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
INFORMS
2008
62views more  INFORMS 2008»
15 years 6 months ago
A Stochastic Approximation Method to Compute Bid Prices in Network Revenue Management Problems
We present a stochastic approximation method to compute bid prices in network revenue management problems. The key idea is to visualize the total expected revenue as a function of...
Huseyin Topaloglu
JAIR
2006
122views more  JAIR 2006»
15 years 6 months ago
Solving Factored MDPs with Hybrid State and Action Variables
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
Branislav Kveton, Milos Hauskrecht, Carlos Guestri...