135 search results - page 8 / 27 » Bounded Parameter Markov Decision Processes |
124
Voted
CORR
2010
Springer
15 years 12 days ago
2010
Springer
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
122
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ICMLA
2009
14 years 11 months ago
2009
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
113
Voted
NIPS
2004
15 years 3 months ago
2004
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
237
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Publication
In the Bayesian approach to sequential decision making, exact calculation of the (subjective) utility is intractable. This extends to most special cases of interest, such as reinfo...
106
Voted
CORR
2010
Springer
15 years 1 months ago
2010
Springer
The success of probabilistic model checking for discrete-time Markov decision processes and continuous-time Markov chains has led to rich academic and industrial applications. The ...