AISTATS 2019 (the 22nd international Conference on Artificial Intelligence and Statistics) is well under way and Lionel Blonde is there to present his work on Sample-Efficient Imitation Learning via Generative Adversarial Nets. You can check his poster Th79 at the poster session tomorrow (Thursday, April 18, 13h30-16h30). He will be happy to explain how he improves upon GAIL by reducing the sample complexity by orders of magnitude. Go and speak to him!
Not only that Lionel knows a great deal about reinforcement and imitation learning, he also knows how to pick his venue for a conference. Naha, Okinawa, Japan certainly sounds like a place to visit during the cherry blossom. Oh well, putting aside my petty envy, big congrats to Lionel and we all hope he enjoys his visit in AISTATS, Japan both as a scientist and a tourist.