771 search results - page 151 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
112
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ICDCS
2010
IEEE
15 years 3 months ago
2010
IEEE
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
114
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CODES
2009
IEEE
15 years 2 months ago
2009
IEEE
Technological advancements due to Moore’s law have led to the proliferation of complex wireless sensor network (WSN) domains. One commonality across all WSN domains is the need ...
NIPS
1998
15 years 29 days ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
100
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NIPS
1996
15 years 28 days ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
CORR
2008
Springer
14 years 11 months ago
2008
Springer
We consider concurrent games played on graphs. At every round of the game, each player simultaneously and independently selects a move; the moves jointly determine the transition ...