87 search results - page 7 / 18 » A policy iteration algorithm for Markov decision processes s... |
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
We propose a novel algorithm called GA-MDP for solving the frequency assigment problem. GA-MDP inherits the spirit of genetic algorithms with an adaptation of Markov Decision Proc...
ICML
1994
IEEE
13 years 11 months ago
1994
IEEE
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
IJCAI
2003
13 years 8 months ago
2003
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
21
Voted
GECCO
2004
Springer
14 years 26 days ago
2004
Springer
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
JMLR
2010
13 years 2 months 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 ...