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2004
Springer
15 years 9 months ago
Coordination in Multiagent Reinforcement Learning Systems
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
M. A. S. Kamal, Junichi Murata
ECML
2006
Springer
15 years 7 months ago
Learning in One-Shot Strategic Form Games
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Alon Altman, Avivit Bercovici-Boden, Moshe Tennenh...
ATAL
2010
Springer
15 years 5 months ago
High-level reinforcement learning in strategy games
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...
Christopher Amato, Guy Shani
NCI
2004
185views Neural Networks» more  NCI 2004»
15 years 5 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
AGI
2008
15 years 5 months ago
Transfer Learning and Intelligence: an Argument and Approach
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone