Sciweavers

92 search results - page 7 / 19
» Acting Optimally in Partially Observable Stochastic Domains
Sort
View
ICCD
2006
IEEE
171views Hardware» more  ICCD 2006»
15 years 8 months ago
Stochastic Dynamic Thermal Management: A Markovian Decision-based Approach
This paper proposes a stochastic dynamic thermal management (DTM) technique in high-performance VLSI system with especial attention to the uncertainty in temperature observation. ...
Hwisung Jung, Massoud Pedram
CORR
2010
Springer
146views Education» more  CORR 2010»
14 years 11 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
AAAI
2010
15 years 1 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
AAAI
2010
14 years 8 months ago
A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra
Some real-world problems are partially decomposable, in that they can be decomposed into a set of coupled subproblems, that are each relatively easy to solve. However, when these ...
Siamak (Moshen) Ravanbakhsh, Barnabás P&oac...
JSAC
2007
78views more  JSAC 2007»
14 years 11 months ago
Partially Optimal Routing
— Most large-scale communication networks, such as the Internet, consist of interconnected administrative domains. While source (or selfish) routing, where transmission follows ...
Daron Acemoglu, Ramesh Johari, Asuman E. Ozdaglar