2440 search results - page 43 / 488 » Abstraction Learning |
99
Voted
AAAI
1994
15 years 4 months ago
1994
Using the methods demonstrated in this paper, a robot with an unknown sensorimotor system can learn sets of features and behaviors adequate to explore a continuous environment and...
159
Voted
ML
2012
ACM
13 years 10 months ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
124
Voted
AAMAS
2002
Springer
15 years 2 months ago
2002
Springer
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
112
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
Abstract— Over the years, many improvements and refinements of the backpropagation learning algorithm have been reported. In this paper, a new adaptive penalty-based learning ex...
140
Voted
LAMAS
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...