Importance Weighted Transfer of Samples in Reinforcement Learning

no code implementations • ICML 2018 • Andrea Tirinzoni, Andrea Sessa, Matteo Pirotta, Marcello Restelli

In the proposed approach, all the samples are transferred and used by a batch RL algorithm to solve the target task, but their contribution to the learning process is proportional to their importance weight.

reinforcement-learning Reinforcement Learning (RL)