1262 search results - page 21 / 253 » Reinforcement Learning: An Introduction |
ML
2000
ACM
14 years 9 months ago
2000
ACM
144
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ICAART
2010
INSTICC
15 years 6 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
ATAL
2004
Springer
15 years 3 months ago
2004
Springer
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
NIPS
2000
14 years 11 months ago
2000
For many problems which would be natural for reinforcement learning, the reward signal is not a single scalar value but has multiple scalar components. Examples of such problems i...
245
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Book
Great book to learn computer vision methods. explained nicely