178 search results - page 24 / 36 » Efficient Approximation of Optimal Control for Markov Games |
AAAI
2008
14 years 11 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
TON
2010
14 years 4 months ago
2010
Abstract--We present a number of significant engineering insights on what makes a good configuration for medium- to largesize wireless mesh networks (WMNs) when the objective funct...
NIPS
2008
14 years 11 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
ESANN
2001
14 years 10 months ago
2001
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
AIPS
2008
14 years 11 months ago
2008
We consider the problem of cooperative multiagent planning under uncertainty, formalized as a decentralized partially observable Markov decision process (Dec-POMDP). Unfortunately...