118 search results - page 6 / 24 » An Evolutionary Random Policy Search Algorithm for Solving M... |
IJCAI
2007
13 years 8 months ago
2007
A long-lived agent continually faces new tasks in its environment. Such an agent may be able to use knowledge learned in solving earlier tasks to produce candidate policies for it...
NIPS
2003
13 years 8 months ago
2003
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
We present discrete stochastic mathematical models for the growth curves of synchronous and asynchronous evolutionary algorithms with populations structured according to a random ...
AAAI
2007
13 years 9 months ago
2007
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
ALDT
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...