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IROS
2006
IEEE
190views Robotics» more  IROS 2006»
15 years 8 months ago
Q-RAN: A Constructive Reinforcement Learning Approach for Robot Behavior Learning
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...
Jun Li, Achim J. Lilienthal, Tomás Mart&iac...
144
Voted
ICMLA
2010
15 years 11 days ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
148
Voted
ATAL
2005
Springer
15 years 8 months ago
Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing
This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
Katja Verbeeck, Ann Nowé, Karl Tuyls
119
Voted
ICML
2009
IEEE
16 years 3 months ago
Kernelized value function approximation for reinforcement learning
Gavin Taylor, Ronald Parr
90
Voted
ICML
2008
IEEE
16 years 3 months ago
An analysis of reinforcement learning with function approximation
Francisco S. Melo, Sean P. Meyn, M. Isabel Ribeiro