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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"
8 / 8 papers shown
CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning
Minh Hoang Nguyen
Van Dai Do
D. Nguyen
T. Nguyen
Hung Le
187
2
0
19 Aug 2025
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Wenzhang Liu
Lianjun Jin
Lu Ren
Chaoxu Mu
Changyin Sun
CML
266
0
0
24 Jan 2025
Variable-Agnostic Causal Exploration for Reinforcement Learning
Minh Hoang Nguyen
Hung Le
Svetha Venkatesh
CML
320
3
0
17 Jul 2024
Skill or Luck? Return Decomposition via Advantage Functions
Hsiao-Ru Pan
Bernhard Schölkopf
OffRL
219
7
0
20 Feb 2024
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Shaohui Peng
Xin Hu
Rui Zhang
Ke Tang
Jiaming Guo
...
Xishan Zhang
Zidong Du
Ling Li
Qi Guo
Yunji Chen
218
35
0
13 Oct 2022
Direct Advantage Estimation
Hsiao-Ru Pan
Nico Gürtler
Alexander Neitz
Bernhard Schölkopf
OffRL
CML
196
14
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
306
3
0
01 Jun 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
ACM Computing Surveys (CSUR), 2021
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
634
371
0
03 Mar 2021
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