ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.06545
  4. Cited By
Provably Efficient Causal Model-Based Reinforcement Learning for
  Systematic Generalization

Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization

14 February 2022
Mirco Mutti
Ric De Santi
Emanuele Rossi
J. Calderón
Michael M. Bronstein
Marcello Restelli
ArXivPDFHTML

Papers citing "Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization"

9 / 9 papers shown
Title
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
Hongye Cao
Fan Feng
Meng Fang
Shaokang Dong
Tianpei Yang
Jing Huo
Yang Gao
61
1
0
14 Feb 2025
Adaptive Data Exploitation in Deep Reinforcement Learning
Adaptive Data Exploitation in Deep Reinforcement Learning
Mingqi Yuan
Bo Li
Xin Jin
Wenjun Zeng
OffRL
264
0
0
22 Jan 2025
Boosting Efficiency in Task-Agnostic Exploration through Causal
  Knowledge
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
Yupei Yang
Erdun Gao
Shikui Tu
Lei Xu
CML
42
1
0
30 Jul 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
Hao-ming Lin
Wenhao Ding
Jian Chen
Laixi Shi
Jiacheng Zhu
Bo-wen Li
Ding Zhao
OffRL
CML
59
0
0
15 Jul 2024
Disentangled Representations for Causal Cognition
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
49
1
0
30 Jun 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving
  Robustness in Reinforcement Learning
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
Inwoo Hwang
Yunhyeok Kwak
Suhyung Choi
Byoung-Tak Zhang
Sanghack Lee
45
1
0
05 Jun 2024
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement
  Learning
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
Mirco Mutti
Ric De Santi
Marcello Restelli
Alexander Marx
Giorgia Ramponi
CML
30
4
0
11 Oct 2023
Factored Adaptation for Non-Stationary Reinforcement Learning
Factored Adaptation for Non-Stationary Reinforcement Learning
Fan Feng
Erdun Gao
Kun Zhang
Sara Magliacane
CML
OffRL
49
32
0
30 Mar 2022
Reward-Free Exploration for Reinforcement Learning
Reward-Free Exploration for Reinforcement Learning
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
112
194
0
07 Feb 2020
1