654 search results - page 19 / 131 » TRUST-TECH based Methods for Optimization and Learning |
102
click to vote
NN
2002
Springer
15 years 8 days ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
135
Voted
AI
1999
Springer
15 years 9 days ago
1999
Springer
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
126
click to vote
AAAI
2012
13 years 3 months ago
2012
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
115
click to vote
ICML
1996
IEEE
15 years 4 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
96
Voted
ATAL
2006
Springer
15 years 4 months ago
2006
Springer
We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. ...