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2010.01351
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Disentangling causal effects for hierarchical reinforcement learning
3 October 2020
Oriol Corcoll
Raul Vicente
CML
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Papers citing
"Disentangling causal effects for hierarchical reinforcement learning"
7 / 7 papers shown
Title
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Wenzhang Liu
Lianjun Jin
Lu Ren
Chaoxu Mu
Changyin Sun
CML
90
0
0
24 Jan 2025
Variable-Agnostic Causal Exploration for Reinforcement Learning
Minh Hoang Nguyen
Hung Le
Svetha Venkatesh
CML
54
2
0
17 Jul 2024
Skill or Luck? Return Decomposition via Advantage Functions
Hsiao-Ru Pan
Bernhard Schölkopf
OffRL
32
5
0
20 Feb 2024
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
Shaohui Peng
Xin Hu
Rui Zhang
Ke Tang
Jiaming Guo
...
Xishan Zhang
Zidong Du
Ling Li
Qi Guo
Yunji Chen
76
23
0
13 Oct 2022
Direct Advantage Estimation
Hsiao-Ru Pan
Nico Gürtler
Alexander Neitz
Bernhard Schölkopf
OffRL
CML
58
13
0
13 Sep 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning
Oriol Corcoll
Youssef Mohamed
Raul Vicente
54
3
0
01 Jun 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
147
305
0
03 Mar 2021
1