Sciweavers

64 search results - page 10 / 13
» Multi-Agent Learning with Policy Prediction
Sort
View
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
14 years 2 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
ATAL
2009
Springer
13 years 8 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls
AIME
2007
Springer
14 years 5 months ago
Variable Selection for Optimal Decision Making
This paper discusses variable selection for medical decision making; in particular decisions regarding when to provide treatment and which treatment to provide. Current variable se...
Lacey Gunter, Ji Zhu, Susan Murphy
ICML
2005
IEEE
14 years 11 months ago
Relating reinforcement learning performance to classification performance
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
John Langford, Bianca Zadrozny
KDD
1994
ACM
104views Data Mining» more  KDD 1994»
14 years 3 months ago
Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools
The multistrategy knowledge discovery tool, INLEN, is applied to databases consisting of economic and demographic facts and statistics about the countries of the world. Preliminar...
Kenneth A. Kaufman