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» Markov Decision Processes with Arbitrary Reward Processes
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110
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ATAL
2009
Springer
15 years 8 months ago
Point-based incremental pruning heuristic for solving finite-horizon DEC-POMDPs
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
Jilles Steeve Dibangoye, Abdel-Illah Mouaddib, Bra...
PRIMA
2007
Springer
15 years 8 months ago
Multiagent Planning with Trembling-Hand Perfect Equilibrium in Multiagent POMDPs
Multiagent Partially Observable Markov Decision Processes are a popular model of multiagent systems with uncertainty. Since the computational cost for finding an optimal joint pol...
Yuichi Yabu, Makoto Yokoo, Atsushi Iwasaki
ATAL
2003
Springer
15 years 7 months ago
Performance models for large scale multiagent systems: using distributed POMDP building blocks
Given a large group of cooperative agents, selecting the right coordination or conflict resolution strategy can have a significant impact on their performance (e.g., speed of co...
Hyuckchul Jung, Milind Tambe
106
Voted
AAAI
2010
15 years 3 months ago
PUMA: Planning Under Uncertainty with Macro-Actions
Planning in large, partially observable domains is challenging, especially when a long-horizon lookahead is necessary to obtain a good policy. Traditional POMDP planners that plan...
Ruijie He, Emma Brunskill, Nicholas Roy
CORR
2010
Springer
88views Education» more  CORR 2010»
15 years 1 months ago
Multiple Timescale Dispatch and Scheduling for Stochastic Reliability in Smart Grids with Wind Generation Integration
Integrating volatile renewable energy resources into the bulk power grid is challenging, due to the reliability requirement that at each instant the load and generation in the syst...
Miao He, Sugumar Murugesan, Junshan Zhang