3412 search results - page 35 / 683 » Efficient Reinforcement Learning |
78
Voted
NIPS
2000
15 years 3 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...
127
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
154
Voted
ICMLA
2003
15 years 4 months ago
2003
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
127
Voted
NIPS
1992
15 years 3 months ago
1992
We present a local learning rule in which Hebbian learning is conditional on an incorrect prediction of a reinforcement signal. We propose a biological interpretation of such a fr...
108
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ACMSE
2010
ACM
15 years 18 days ago
2010
ACM
Reinforcement Programming (RP) is a new technique for automatically generating a computer program using reinforcement learning methods. This paper describes how RP learned to gene...