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ICML
2009
IEEE
16 years 2 months ago
Discovering options from example trajectories
We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal ...
Peng Zang, Peng Zhou, David Minnen, Charles Lee Is...
VLSID
2002
IEEE
102views VLSI» more  VLSID 2002»
16 years 2 months ago
Losses in Multilevel Crossover in VLSI Interconnects
The radiation and surface wave losses may give rise to electromagnetic interference (EMI) problems in high speed VLSI interconnects. Over and above there will be dielectric and co...
P. K. Datta, S. Sanyal, D. Bhattacharya
TASE
2009
IEEE
15 years 8 months ago
MARS: Metamodel Recovery from Multi-tiered Models Using Grammar Inference
In model-driven engineering, metamodels may get lost over time resulting in the inability to load and view existing model instances. MARS is a system that recovers metamodels from...
Qichao Liu, Faizan Javed, Marjan Mernik, Barrett R...
110
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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
15 years 8 months ago
Visualizing the search process of particle swarm optimization
It is a hard problem to understand the search process of particle swarm optimization over high-dimensional domain. The visualization depicts the total search process and then it w...
Yong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon
EUROGP
2010
Springer
217views Optimization» more  EUROGP 2010»
15 years 8 months ago
Evolving Genes to Balance a Pole
We discuss how to use a Genetic Regulatory Network as an evolutionary representation to solve a typical GP reinforcement problem, the pole balancing. The network is a modified ver...
Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf