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)
no code implementations • NeurIPS 2021 • Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Learning auxiliary tasks, such as multiple predictions about the world, can provide many benefits to reinforcement learning systems.