664 search results - page 63 / 133 » Combining Reinforcement Learning with a Local Control Algori... |
111
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ICDM
2003
IEEE
15 years 7 months ago
2003
IEEE
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
112
Voted
ATAL
2009
Springer
15 years 8 months ago
2009
Springer
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
133
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ROBOCUP
2004
Springer
15 years 7 months ago
2004
Springer
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
115
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
112
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ROMAN
2007
IEEE
15 years 8 months ago
2007
IEEE
—This paper proposes a novel method of learning a users preferred reward modalities for human-robot interaction through solving a cooperative training task. A learning algorithm ...