185 search results - page 3 / 37 » Simulation-Based Optimization Algorithms for Finite-Horizon ... |
146
Voted
COLT
2007
Springer
15 years 9 months ago
2007
Springer
Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP). Unlike the case of an MDP, t...
124
Voted
MOR
2007
15 years 2 months ago
2007
We consider the problem of solving a nonhomogeneous infinite horizon Markov Decision Process (MDP) problem in the general case of potentially multiple optimal first period polic...
122
Voted
IJCAI
2007
15 years 4 months ago
2007
Formal analysis of decentralized decision making has become a thriving research area in recent years, producing a number of multi-agent extensions of Markov decision processes. Wh...
123
Voted
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
111
Voted
AAAI
2004
15 years 4 months ago
2004
Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...