LGMLNov 14, 2019

Supplementary material for Uncorrected least-squares temporal difference with lambda-return

arXiv:1911.06057v11 citations
Originality Synthesis-oriented
AI Analysis

Incremental, as it is supplementary material for an existing paper.

This paper provides supplementary material for a method tackling temporal difference learning, but no specific problem or result is described in the abstract.

Here, we provide a supplementary material for Takayuki Osogami, "Uncorrected least-squares temporal difference with lambda-return," which appears in {\it Proceedings of the 34th AAAI Conference on Artificial Intelligence} (AAAI-20).

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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