Breaking the deadly triad with a target network
The deadly triad refers to the instability of a reinforcement learning algorithm when it employs off-policy learning, function approximation, and bootstrapping simultaneously. In this paper, we investigate the target network as a tool for breaking the deadly triad, providing theoretical support for...
Asıl Yazarlar: | Zhang, S, Yao, H, Whiteson, S |
---|---|
Materyal Türü: | Conference item |
Dil: | English |
Baskı/Yayın Bilgisi: |
PMLR
2021
|
Benzer Materyaller
-
Breaking the deadly triad in reinforcement learning
Yazar:: Zhang, S
Baskı/Yayın Bilgisi: (2022) -
Austrian syndrome: The deadly triad
Yazar:: Yong Il Shin, ve diğerleri
Baskı/Yayın Bilgisi: (2020-01-01) -
Austrian syndrome: Resurgence of an old and deadly triad
Yazar:: Kristian Rivera, ve diğerleri
Baskı/Yayın Bilgisi: (2024-04-01) -
Insulin resistance, impaired postprandial lipid metabolism and abdominal obesity. A deadly triad.
Yazar:: Frayn, K
Baskı/Yayın Bilgisi: (2002) -
The Role of Dark Triad of Personality, Material Preoccupations, and Sorrow of Being Compared in Deadly Sins
Yazar:: Ghasem Ahi
Baskı/Yayın Bilgisi: (2019-09-01)