Search Results for author: Andrea Sessa

Found 1 papers, 0 papers with code

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.


Cannot find the paper you are looking for? You can Submit a new open access paper.