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

no code implementations • 13 Apr 2016 • Yusen Zhan, Haitham Bou Ammar, Matthew E. Taylor

This paper formally defines a setting where multiple teacher agents can provide advice to a student and introduces an algorithm to leverage both autonomous exploration and teacher's advice.

reinforcement-learning Reinforcement Learning (RL) +1

Online Transfer Learning in Reinforcement Learning Domains

no code implementations • 2 Jul 2015 • Yusen Zhan, Matthew E. Taylor

This paper proposes an online transfer framework to capture the interaction among agents and shows that current transfer learning in reinforcement learning is a special case of online transfer.

Q-Learning reinforcement-learning +2