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» Parametric regret in uncertain Markov decision processes
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AAAI
2006
13 years 7 months ago
Decision Making in Uncertain Real-World Domains Using DT-Golog
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
Mikhail Soutchanski, Huy Pham, John Mylopoulos
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
14 years 9 days 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
ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
14 years 12 days ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone
DATE
2007
IEEE
92views Hardware» more  DATE 2007»
14 years 19 days ago
Dynamic power management under uncertain information
This paper tackles the problem of dynamic power management (DPM) in nanoscale CMOS design technologies that are typically affected by increasing levels of process, voltage, and te...
Hwisung Jung, Massoud Pedram
ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
13 years 4 months ago
Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
Salvatore Candido, James C. Davidson, Seth Hutchin...