Multi-step reinforcement learning: A unifying algorithm

K De Asis, J Hernandez-Garcia, G Holland… - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Unifying seemingly disparate algorithmic ideas to produce better performing algorithms has
been a longstanding goal in reinforcement learning. As a primary example, TD (λ) elegantly …

Multi-step Reinforcement Learning: A Unifying Algorithm

K De Asis, JF Hernandez-Garcia, GZ Holland… - arXiv preprint arXiv …, 2017 - arxiv.org
Unifying seemingly disparate algorithmic ideas to produce better performing algorithms has
been a longstanding goal in reinforcement learning. As a primary example, TD ($\lambda $) …

[PDF][PDF] Multi-Step Reinforcement Learning: A Unifying Algorithm

K De Asis, JF Hernandez-Garcia, GZ Holland… - 2018 - cdn.aaai.org
Unifying seemingly disparate algorithmic ideas to produce better performing algorithms has
been a longstanding goal in reinforcement learning. As a primary example, TD (λ) elegantly …

[PDF][PDF] Multi-Step Reinforcement Learning: A Unifying Algorithm

K De Asis, JF Hernandez-Garcia, GZ Holland… - 2018 - scholar.archive.org
Unifying seemingly disparate algorithmic ideas to produce better performing algorithms has
been a longstanding goal in reinforcement learning. As a primary example, TD (λ) elegantly …

Multi-step Reinforcement Learning: A Unifying Algorithm

K De Asis, JF Hernandez-Garcia… - arXiv e …, 2017 - ui.adsabs.harvard.edu
Unifying seemingly disparate algorithmic ideas to produce better performing algorithms has
been a longstanding goal in reinforcement learning. As a primary example, TD ($\lambda $) …

Multi-step reinforcement learning: a unifying algorithm

K De Asis, JF Hernandez-Garcia, GZ Holland… - Proceedings of the …, 2018 - dl.acm.org
Unifying seemingly disparate algorithmic ideas to produce better performing algorithms has
been a longstanding goal in reinforcement learning. As a primary example, TD (λ) elegantly …