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IJCAI
2007
15 years 4 months ago
Average-Reward Decentralized Markov Decision Processes
Formal analysis of decentralized decision making has become a thriving research area in recent years, producing a number of multi-agent extensions of Markov decision processes. Wh...
Marek Petrik, Shlomo Zilberstein
141
Voted
EGPGV
2004
Springer
165views Visualization» more  EGPGV 2004»
15 years 8 months ago
Tuning of Algorithms for Independent Task Placement in the Context of Demand-Driven Parallel Ray Tracing
This paper investigates assignment strategies (load balancing algorithms) for process farms which solve the problem of online placement of a constant number of independent tasks w...
Tomas Plachetka
DIALM
2003
ACM
99views Algorithms» more  DIALM 2003»
15 years 8 months ago
Spatio-temporal data reduction with deterministic error bounds
A common way of storing spatio-temporal information about mobile devices is in the form of a 3D (2D geography + time) trajectory. We argue that when cellular phones and Personal D...
Hu Cao, Ouri Wolfson, Goce Trajcevski
CORR
2012
Springer
235views Education» more  CORR 2012»
13 years 10 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
ICML
2003
IEEE
16 years 3 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum