908 search results - page 83 / 182 » Stochastic Finite Learning |
ICML
1994
IEEE
14 years 12 days ago
1994
IEEE
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Lab
Our research is motivated by a strong conviction that business processes in electronic enterprises can be designed to deliver high levels of performance through the use of mathemat...
COCOON
1995
Springer
14 years 13 days ago
1995
Springer
A Craig interpolant of two inconsistent theories is a formula which is true in one and false in the other. This paper gives an eificient method for constructing a Craig interpolant...