8970 search results - page 103 / 1794 » Learning to Learn Causal Models |
116
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ATAL
2008
Springer
15 years 3 months ago
2008
Springer
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
121
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ATAL
2006
Springer
15 years 5 months ago
2006
Springer
In this paper, we propose a new integration approach for simulation and behaviour in the learning context that is able to coherently manage the shared virtual environment for the ...
106
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
134
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ICMLA
2009
14 years 11 months ago
2009
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
117
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AIED
2009
Springer
15 years 6 months ago
2009
Springer
EAGLE (Electronic Assistant for Game-Based Learning Experiences) is an intelligent tutoring system that supports learning with video games. We describe how a flexible ontology-base...