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ECML
2003
Springer
15 years 9 months ago
Self-evaluated Learning Agent in Multiple State Games
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Koichi Moriyama, Masayuki Numao
IJCAI
2007
15 years 6 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
127
Voted
IJCNN
2008
IEEE
15 years 11 months ago
Batch-Learning Self-Organizing Map with false-neighbor degree between neurons
Abstract— This study proposes a Batch-Learning SelfOrganizing Map with False-Neighbor degree between neurons (called BL-FNSOM). False-neighbor degrees are allocated between adjac...
Haruna Matsushita, Yoshifumi Nishio
AROBOTS
2000
137views more  AROBOTS 2000»
15 years 4 months ago
Acquiring Mobile Robot Behaviors by Learning Trajectory Velocities
Abstract. The development of robots that learn from experience is a relentless challenge confronting artificial intelligence today. This paper describes a robot learning method whi...
Koren Ward, Alexander Zelinsky
179
Voted
ISOLA
2010
Springer
15 years 3 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti