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ATAL
2009
Springer
14 years 2 months ago
Lossless clustering of histories in decentralized POMDPs
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....
CCE
2004
13 years 7 months ago
Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application
The Resource-Constrained Project Scheduling Problem(RCPSP) is a significant challenge in highly regulated industries, such as pharmaceuticals and agrochemicals, where a large numb...
Jaein Choi, Matthew J. Realff, Jay H. Lee
NIPS
2008
13 years 9 months ago
Particle Filter-based Policy Gradient in POMDPs
Our setting is a Partially Observable Markov Decision Process with continuous state, observation and action spaces. Decisions are based on a Particle Filter for estimating the bel...
Pierre-Arnaud Coquelin, Romain Deguest, Rém...
AAAI
2012
11 years 10 months ago
Tree-Based Solution Methods for Multiagent POMDPs with Delayed Communication
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
Frans Adriaan Oliehoek, Matthijs T. J. Spaan
ICCD
2006
IEEE
171views Hardware» more  ICCD 2006»
14 years 4 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