337 search results - page 16 / 68 » Mean-Variance Optimization in Markov Decision Processes |
DATE
2008
IEEE
14 years 2 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
ICML
1994
IEEE
13 years 11 months ago
1994
IEEE
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
ANOR
2010
13 years 7 months ago
2010
Abstract In the controlled ovary hyperstimulation (COH) cycle of the in vitro fertilization-embryo transfer (IVFET) therapy, the clinicians observe the patients' responses to ...
AAAI
2012
11 years 10 months ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
ICRA
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set of regions that are closed under complia...