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NECO
2007
258views more  NECO 2007»
13 years 10 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
ISDA
2010
IEEE
13 years 8 months ago
Intelligent online case-based planning agent model for real-time strategy games
Research in learning and planning in real-time strategy (RTS) games is very interesting in several industries such as military industry, robotics, and most importantly game industr...
Ibrahim Fathy, Mostafa Aref, Omar Enayet, Abdelrah...
ECML
2004
Springer
14 years 4 months ago
Filtered Reinforcement Learning
Reinforcement learning (RL) algorithms attempt to assign the credit for rewards to the actions that contributed to the reward. Thus far, credit assignment has been done in one of t...
Douglas Aberdeen
CSFW
2008
IEEE
14 years 16 days ago
Automated Verification of Remote Electronic Voting Protocols in the Applied Pi-Calculus
We present a general technique for modeling remote electronic voting protocols in the applied pi-calculus and for automatically verifying their security. In the first part of this...
Michael Backes, Catalin Hritcu, Matteo Maffei