Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer

Yusen Zhan, Haitham Bou-Ammar, Matthew E. Taylor. Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer. In Subbarao Kambhampati, editor, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016. pages 2315-2321, IJCAI/AAAI Press, 2016. [doi]

Authors

Yusen Zhan

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Haitham Bou-Ammar

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Matthew E. Taylor

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