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ICMLA
2010

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Multi-Agent Inverse Reinforcement Learning

13 years 5 months ago

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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,...

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ATAL
2005
Springer

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Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing

14 years 1 months ago

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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

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ICML
2009
IEEE

185views Machine Learning» more ICML 2009»

Kernelized value function approximation for reinforcement learning

14 years 8 months ago