495 search results - page 69 / 99 » Constructing States for Reinforcement Learning |
120
Voted
AROBOTS
1999
15 years 3 months ago
1999
Abstract. Classical conditioning is a basic learning mechanism in animals and can be found in almost all organisms. If we want to construct robots with abilities matching those of ...
161
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HCW
1999
IEEE
15 years 8 months ago
1999
IEEE
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
207
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
132
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ECML
2007
Springer
15 years 10 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 ...
233
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NEUROSCIENCE
2001
Springer
15 years 8 months ago
2001
Springer
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...