37 search results - page 7 / 8 » Adaptive Feedback Control by Constrained Approximate Dynamic... |
116
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ATAL
2007
Springer
15 years 8 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
125
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CDC
2010
IEEE
14 years 9 months ago
2010
IEEE
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
104
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GECCO
2005
Springer
15 years 8 months ago
2005
Springer
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
135
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NIPS
1996
15 years 3 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
110
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RTSS
1999
IEEE
15 years 6 months ago
1999
IEEE
The problem of maximizing system utility by allocating a single finite resource to satisfy discrete Quality of Service (QoS) requirements of multiple applications along multiple Q...