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Variable-Agnostic Causal Exploration for Reinforcement Learning

Variable-Agnostic Causal Exploration for Reinforcement Learning

17 July 2024
Minh Hoang Nguyen
Hung Le
Svetha Venkatesh
    CML
ArXivPDFHTML

Papers citing "Variable-Agnostic Causal Exploration for Reinforcement Learning"

4 / 4 papers shown
Title
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection
Chenran Zhao
Dianxi Shi
Mengzhu Wang
Jianqiang Xia
Huanhuan Yang
Songchang Jin
Shaowu Yang
Chunping Qiu
24
0
0
04 May 2025
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Wenzhang Liu
Lianjun Jin
Lu Ren
Chaoxu Mu
Changyin Sun
CML
48
0
0
24 Jan 2025
A Survey on Causal Reinforcement Learning
A Survey on Causal Reinforcement Learning
Yan Zeng
Ruichu Cai
Fuchun Sun
Libo Huang
Z. Hao
CML
26
27
0
10 Feb 2023
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
238
89
0
27 Sep 2021
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