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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
13 years 9 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
CF
2008
ACM
13 years 7 months ago
A distributed evolutionary method to design scheduling policies for volunteer computing
Volunteer Computing (VC) is a paradigm that takes advantage of idle cycles from computing resources donated by volunteers and connected through the Internet to compute large-scale...
Trilce Estrada, Olac Fuentes, Michela Taufer
MAGS
2010
153views more  MAGS 2010»
13 years 1 days ago
Designing bidding strategies in sequential auctions for risk averse agents
Designing efficient bidding strategies for sequential auctions remains an important, open problem area in agent-mediated electronic markets. In existing literature, a variety of bi...
Valentin Robu, Han La Poutré
ISCI
2008
96views more  ISCI 2008»
13 years 5 months ago
Fuzzy age-dependent replacement policy and SPSA algorithm based-on fuzzy simulation
An increase in the performance of deteriorating systems can be achieved through the adoption of suitable maintenance policies. One of the most popular maintenance policies is the ...
Jiashun Zhang, Ruiqing Zhao, Wansheng Tang
ATAL
2007
Springer
13 years 9 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso