Goal-Space Planning with Subgoal Models

no code implementations • 6 Jun 2022 • Chunlok Lo, Kevin Roice, Parham Mohammad Panahi, Scott Jordan, Adam White, Gabor Mihucz, Farzane Aminmansour, Martha White

In this paper, we avoid this limitation by constraining background planning to a set of (abstract) subgoals and learning only local, subgoal-conditioned models.

Model-based Reinforcement Learning Reinforcement Learning (RL)

Learning Macroscopic Brain Connectomes via Group-Sparse Factorization

1 code implementation • NeurIPS 2019 • Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell, Franco Pestilli, Cesar F. Caiafa, Russell Greiner, Martha White

We develop an efficient optimization strategy for this extremely high-dimensional sparse problem, by reducing the number of parameters using a greedy algorithm designed specifically for the problem.