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Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin
  Representation

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation

5 June 2023
Wanpeng Zhang
Yilin Li
Boyu Yang
Zongqing Lu
    CML
ArXivPDFHTML

Papers citing "Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation"

3 / 3 papers shown
Title
Domain Adaptation as a Problem of Inference on Graphical Models
Domain Adaptation as a Problem of Inference on Graphical Models
Kun Zhang
Mingming Gong
P. Stojanov
Biwei Huang
Qingsong Liu
Clark Glymour
OOD
43
64
0
09 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,681
0
09 Mar 2017
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
147
435
0
20 Feb 2013
1