Sciweavers

92 search results - page 7 / 19
» Acting Optimally in Partially Observable Stochastic Domains
Sort
View
92
Voted
ICCD
2006
IEEE
171views Hardware» more  ICCD 2006»
15 years 6 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 9 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
14 years 11 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...
105
Voted
AAAI
2010
14 years 6 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 9 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