337 search results - page 46 / 68 » Mean-Variance Optimization in Markov Decision Processes |
AAAI
2010
13 years 9 months ago
2010
The precise specification of reward functions for Markov decision processes (MDPs) is often extremely difficult, motivating research into both reward elicitation and the robust so...
CONCUR
2006
Springer
13 years 11 months ago
2006
Springer
A stochastic graph game is played by two players on a game graph with probabilistic transitions. We consider stochastic graph games with -regular winning conditions specified as Ra...
AAAI
2006
13 years 9 months ago
2006
We define TTD-MDPs, a novel class of Markov decision processes where the traditional goal of an agent is changed from finding an optimal trajectory through a state space to realiz...
AAAI
2006
13 years 9 months ago
2006
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
AIPS
2006
13 years 9 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...