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» Feature Markov Decision Processes
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110
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IROS
2006
IEEE
121views Robotics» more  IROS 2006»
15 years 6 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
98
Voted
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
15 years 6 months ago
Issues in Rational Planning in Multi-Agent Settings
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
Piotr J. Gmytrasiewicz
109
Voted
ISLPED
1999
ACM
91views Hardware» more  ISLPED 1999»
15 years 5 months ago
Stochastic modeling of a power-managed system: construction and optimization
-- The goal of a dynamic power management policy is to reduce the power consumption of an electronic system by putting system components into different states, each representing ce...
Qinru Qiu, Qing Wu, Massoud Pedram
88
Voted
AIPS
2007
15 years 3 months ago
Prioritizing Bellman Backups without a Priority Queue
Several researchers have shown that the efficiency of value iteration, a dynamic programming algorithm for Markov decision processes, can be improved by prioritizing the order of...
Peng Dai, Eric A. Hansen
90
Voted
AAAI
2006
15 years 2 months ago
Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains
We examine the problem of Transfer in Reinforcement Learning and present a method to utilize knowledge acquired in one Markov Decision Process (MDP) to bootstrap learning in a mor...
Vishal Soni, Satinder P. Singh