453 search results - page 25 / 91 » Learning from actions not taken: a multiagent learning algor... |
108
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HIS
2004
14 years 11 months ago
2004
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
The DEFACTO system is a multiagent based tool for training incident commanders for large scale disasters. In this paper, we highlight some of the lessons that we have learned from...
AAAI
2010
14 years 10 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
133
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CVPR
2012
IEEE
13 years 3 days ago
2012
IEEE
The launch of Xbox Kinect has built a very successful computer vision product and made a big impact to the gaming industry; this sheds lights onto a wide variety of potential appl...