337 search results - page 47 / 68 » Mean-Variance Optimization in Markov Decision Processes |
UAI
2008
14 years 11 months ago
2008
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
100
Voted
FOCS
2007
IEEE
15 years 4 months ago
2007
IEEE
We consider a variant of the classic multi-armed bandit problem (MAB), which we call FEEDBACK MAB, where the reward obtained by playing each of n independent arms varies according...
NIPS
2007
14 years 11 months ago
2007
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
84
Voted
IJRR
2008
14 years 9 months ago
2008
We develop a new motion planning algorithm for a variant of a Dubins car with binary left/right steering and apply it to steerable needles, a new class of flexible beveltip medica...
AIPS
2000
14 years 11 months ago
2000
1 We consider the problem of scheduling an unknown sequence of tasks for a single server as the tasks arrive with the goal off maximizing the total weighted value of the tasks serv...