29 search results - page 6 / 6 » Dynamic Programming Approximations for Partially Observable ... |
QEST
2007
IEEE
13 years 11 months ago
2007
IEEE
Among the many stages of a simulation study, debugging a simulation model is the one that is hardly reported on but that may consume a considerable amount of time and effort. In t...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...