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Disentangling causal effects for hierarchical reinforcement learning
v1v2 (latest)

Disentangling causal effects for hierarchical reinforcement learning

3 October 2020
Oriol Corcoll
Raul Vicente
    CML
ArXiv (abs)PDFHTML

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
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
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
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
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
Direct Advantage Estimation
Hsiao-Ru Pan
Nico Gürtler
Alexander Neitz
Bernhard Schölkopf
OffRLCML
58
13
0
13 Sep 2021
Did I do that? Blame as a means to identify controlled effects in
  reinforcement learning
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
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