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» Qualitative reinforcement learning
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AIPS
2006
13 years 9 months ago
Reusing and Building a Policy Library
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...
Fernando Fernández, Manuela M. Veloso
NN
2006
Springer
140views Neural Networks» more  NN 2006»
13 years 7 months ago
Neural mechanism for stochastic behaviour during a competitive game
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
Alireza Soltani, Daeyeol Lee, Xiao-Jing Wang
TSMC
2008
135views more  TSMC 2008»
13 years 7 months ago
Wholesale Power Price Dynamics Under Transmission Line Limits: A Use of an Agent-Based Intelligent Simulator
Abstract--This research proposes a use of an agent-based intelligent simulator to numerically examine the influence of a transmission line limit on the dynamics of a wholesale powe...
Toshiyuki Sueyoshi, Gopalakrishna Reddy Tadiparthi
AI
2002
Springer
13 years 7 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
ML
2002
ACM
133views Machine Learning» more  ML 2002»
13 years 7 months ago
Finite-time Analysis of the Multiarmed Bandit Problem
Reinforcement learning policies face the exploration versus exploitation dilemma, i.e. the search for a balance between exploring the environment to find profitable actions while t...
Peter Auer, Nicolò Cesa-Bianchi, Paul Fisch...