89 search results - page 9 / 18 » Learning with Continuous Experts Using Drifting Games |
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
ICML
1999
IEEE
14 years 27 days ago
1999
IEEE
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
TON
2008
13 years 8 months ago
2008
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
AGENTS
2001
Springer
14 years 1 months ago
2001
Springer
The complexity of AI characters in computer games is continually improving; however they still fall short of human players. In this paper we describe an AI bot for the game Quake ...
AAMAS
2007
Springer
14 years 2 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...