7 search results - page 1 / 2 » Pseudometrics for State Aggregation in Average Reward Markov... |
ALT
2007
Springer
14 years 2 months ago
2007
Springer
We consider how state similarity in average reward Markov decision processes (MDPs) may be described by pseudometrics. Introducing the notion of adequate pseudometrics which are we...
JMLR
2010
13 years 2 days ago
2010
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
IJCAI
2001
13 years 6 months ago
2001
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
QEST
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract--Model checkers for concurrent probabilistic systems have become very popular within the last decade. The study of long-run average behavior has however received only scan...
FOCS
2007
IEEE
13 years 11 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...