no code implementations • 6 Jul 2023 • Andrew Levy, Sreehari Rammohan, Alessandro Allievi, Scott Niekum, George Konidaris
Our framework makes two specific contributions.
no code implementations • 12 Aug 2021 • Willie McClinton, Andrew Levy, George Konidaris
Sparse rewards and long time horizons remain challenging for reinforcement learning algorithms.
no code implementations • ICLR 2019 • Andrew Levy, Robert Platt, Kate Saenko
Reinforcement Learning (RL) algorithms can suffer from poor sample efficiency when rewards are delayed and sparse.
Hierarchical Reinforcement Learning reinforcement-learning +1
4 code implementations • 4 Dec 2017 • Andrew Levy, George Konidaris, Robert Platt, Kate Saenko
Hierarchical agents have the potential to solve sequential decision making tasks with greater sample efficiency than their non-hierarchical counterparts because hierarchical agents can break down tasks into sets of subtasks that only require short sequences of decisions.