no code implementations • 6 Jan 2024 • Rafael Rafailov, Kyle Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn
We study the problem of offline pre-training and online fine-tuning for reinforcement learning from high-dimensional observations in the context of realistic robot tasks.
no code implementations • 12 Nov 2020 • Victor Kolev, Bogdan Georgiev, Svetlin Penkov
Abstract reasoning and logic inference are difficult problems for neural networks, yet essential to their applicability in highly structured domains.