513 search results - page 59 / 103 » Metric learning for reinforcement learning agents |
70
Voted
ATAL
2004
Springer
15 years 6 months ago
2004
Springer
This paper explores hybrid agents that use a variety of techniques to improve their performance in an environment over time. We considered, specifically, geneticlearning-parentin...
107
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ATAL
2007
Springer
15 years 6 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
100
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BC
1998
15 years 7 days ago
1998
Optimization of performance in collective systems often requires altruism. The emergence and stabilization of altruistic behaviors are dicult to achieve because the agents incur ...
104
Voted
ECAI
2006
Springer
15 years 4 months ago
2006
Springer
Emotions play a very important role in human behaviour and social interaction. In this paper we present a control architecture which uses emotions in the behaviour selection proces...
129
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...