no code implementations • 22 Mar 2024 • Guillermo Infante, David Kuric, Anders Jonsson, Vicenç Gómez, Herke van Hoof
Conventional reinforcement learning (RL) methods can successfully solve a wide range of sequential decision problems.
1 code implementation • 22 Dec 2022 • David Kuric, Herke van Hoof
Subsequently, we formulate the desiderata for reusable options and use these to frame the problem of learning options as a gradient-based meta-learning problem.
no code implementations • NeurIPS 2021 • David Kuric, Herke van Hoof
Hierarchical methods have the potential to allow reinforcement learning to scale to larger environments.