143
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ICML
16 years 1 months ago
1995 IEEE 
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
131
Voted
ICML
16 years 1 months ago
1995 IEEE 
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
124
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ICML
16 years 1 months ago
1995 IEEE 
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
112
Voted
ICML
16 years 1 months ago
1995 IEEE
This paper describes an approach to automatically learn planning operators by observing expert solution traces and to further refine the operators through practice in a learning-b...
111
Voted
ICML
16 years 1 months ago
1995 IEEE
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
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Machine Learning