1262 search results - page 21 / 253 » Reinforcement Learning: An Introduction |
ML
2000
ACM
13 years 7 months ago
2000
ACM
ICAART
2010
INSTICC
14 years 5 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
14 years 1 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
13 years 9 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...
110
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Book
Great book to learn computer vision methods. explained nicely