3502 search results - page 218 / 701 » From Machine Learning to Machine Reasoning |
198
Voted
ECML
2006
Springer
15 years 10 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 ...
177
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ML
1998
ACM
15 years 6 months ago
1998
ACM
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
156
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
187
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
167
Voted
ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...