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ATAL
2009
Springer
16 years 1 months ago
Achieving goals in decentralized POMDPs
Coordination of multiple agents under uncertainty in the decentralized POMDP model is known to be NEXP-complete, even when the agents have a joint set of goals. Nevertheless, we s...
Christopher Amato, Shlomo Zilberstein
ASPDAC
2004
ACM
141views Hardware» more  ASPDAC 2004»
16 years 3 days ago
An approach for reducing dynamic power consumption in synchronous sequential digital designs
— The problem of minimizing dynamic power consumption by scaling down the supply voltage of computational elements off critical paths is widely addressed in the literature for th...
Noureddine Chabini, Wayne Wolf
AI
2003
Springer
15 years 12 months ago
Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT
Abstract. In this paper, we study the behaviour of the Scaling and Probabilistic Smoothing (SAPS) dynamic local search algorithm on the unweighted MAXSAT problem. MAX-SAT is a conc...
Dave A. D. Tompkins, Holger H. Hoos
ATAL
2006
Springer
15 years 10 months ago
Agent interaction in distributed POMDPs and its implications on complexity
The ability to coordinate effectively is critical for agents to accomplish their goals in a multi-agent system. A number of researchers have modeled the coordination problem for m...
Jiaying Shen, Raphen Becker, Victor R. Lesser
ECAI
2010
Springer
15 years 7 months ago
On Finding Compromise Solutions in Multiobjective Markov Decision Processes
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
Patrice Perny, Paul Weng