9065 search results - page 1684 / 1813 » Robotics |
109
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
124
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
119
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ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
137
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ICML
1996
IEEE
16 years 4 months ago
1996
IEEE
Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...
153
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ICML
1995
IEEE
16 years 4 months ago
1995
IEEE
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...