3274 search results - page 454 / 655 » Using Learning in a Control Agent |
115
Voted
GECCO
2008
Springer
15 years 3 months ago
2008
Springer
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
128
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ATAL
2009
Springer
15 years 9 months ago
2009
Springer
This paper reports on a novel decentralised technique for planning agent schedules in dynamic task allocation problems. Specifically, we use a Markov game formulation of these pr...
148
Voted
ICML
1999
IEEE
16 years 3 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
175
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AI
1998
Springer
15 years 2 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
131
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AI
2007
Springer
15 years 2 months ago
2007
Springer
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...