813 search results - page 44 / 163 » Ensemble Algorithms in Reinforcement Learning |
125
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
152
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AAAI
1998
15 years 5 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
152
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AIIA
2007
Springer
15 years 10 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
136
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VLSID
2005
IEEE
15 years 9 months ago
2005
IEEE
The primary advantage of using 3D-FPGA over 2D-FPGA is that the vertical stacking of active layers reduce the Manhattan distance between the components in 3D-FPGA than when placed...
145
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NCA
2007
IEEE
15 years 3 months ago
2007
IEEE
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...