495 search results - page 72 / 99 » Constructing States for Reinforcement Learning |
129
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ICML
1994
IEEE
15 years 7 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
153
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NIPS
2001
15 years 5 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
143
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ATAL
2009
Springer
15 years 10 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
160
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DIS
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Fuel feeding and inhomogeneity of fuel typically cause process fluctuations in the circulating fluidized bed (CFB) boilers. If control systems fail to compensate the ï¬...
126
Voted
SIGCSE
1998
ACM
15 years 8 months ago
1998
ACM
Programs that use animations or visualizations attract student interest and offer feedback that can enhance different learning styles as students work to master programming and pr...