3084 search results - page 209 / 617 » Learning to Take Actions |
131
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COLT
2007
Springer
15 years 10 months ago
2007
Springer
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
225
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ILP
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
144
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SOFSEM
2007
Springer
15 years 10 months ago
2007
Springer
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
111
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ECML
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
165
Voted
HCW
1999
IEEE
15 years 9 months ago
1999
IEEE
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...