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JMLR
2010
148views more  JMLR 2010»
15 years 1 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
JSS
2000
123views more  JSS 2000»
15 years 6 months ago
Approaches for broadcasting temporal data in mobile computing systems
Rapid advances in mobile communication technology have spawned many new mobile applications. A key element in many of these systems is the need to distribute real-time information...
Kam-yiu Lam, Edward Chan, Joe Chun-Hung Yuen
SAMOS
2007
Springer
16 years 28 days ago
An Evolutionary Approach to Area-Time Optimization of FPGA designs
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Paler...
MOBICOM
2006
ACM
16 years 24 days ago
Enabling distributed throughput maximization in wireless mesh networks: a partitioning approach
This paper considers the interaction between channel assignment and distributed scheduling in multi-channel multiradio Wireless Mesh Networks (WMNs). Recently, a number of distrib...
Andrew Brzezinski, Gil Zussman, Eytan Modiano
CCS
2006
ACM
15 years 10 months ago
A scalable approach to attack graph generation
Attack graphs are important tools for analyzing security vulnerabilities in enterprise networks. Previous work on attack graphs has not provided an account of the scalability of t...
Xinming Ou, Wayne F. Boyer, Miles A. McQueen