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Explainable Reinforcement Learning via a Causal World Model
v1v2v3v4v5 (latest)

Explainable Reinforcement Learning via a Causal World Model

International Joint Conference on Artificial Intelligence (IJCAI), 2023
4 May 2023
Zhongwei Yu
Jingqing Ruan
Dengpeng Xing
    CML
ArXiv (abs)PDFHTMLGithub

Papers citing "Explainable Reinforcement Learning via a Causal World Model"

14 / 14 papers shown
Language-conditioned world model improves policy generalization by reading environmental descriptions
Language-conditioned world model improves policy generalization by reading environmental descriptions
Anh Nguyen
Stefan Lee
LM&Ro
234
0
0
28 Nov 2025
Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access
Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access
Aswin Arun
Christo Kurisummoottil Thomas
Rimalpudi Sarvendranath
Walid Saad
301
0
0
13 Nov 2025
Continual Learning, Not Training: Online Adaptation For Agents
Continual Learning, Not Training: Online Adaptation For Agents
Aman Jaglan
Jarrod Barnes
CLL
254
1
0
02 Nov 2025
Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning
Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning
Ardian Selmonaj
M. Strupl
Oleg Szehr
Alessandro Antonucci
179
0
0
21 Aug 2025
Learning Local Causal World Models with State Space Models and Attention
Learning Local Causal World Models with State Space Models and Attention
Francesco Petri
Luigi Asprino
Aldo Gangemi
CML
388
1
0
04 May 2025
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward ProfilesIEEE International Conference on Robotics and Automation (ICRA), 2025
Rhys Howard
Nick Hawes
Lars Kunze
CML
350
1
0
18 Mar 2025
Towards Causal Model-Based Policy Optimization
Towards Causal Model-Based Policy Optimization
Alberto Caron
V. Mavroudis
Chris Hicks
309
0
0
12 Mar 2025
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
Zeyu Jiang
Hai Huang
Xingquan Zuo
OffRL
236
0
0
02 Feb 2025
Making Large Language Models into World Models with Precondition and
  Effect Knowledge
Making Large Language Models into World Models with Precondition and Effect KnowledgeInternational Conference on Computational Linguistics (COLING), 2024
Kaige Xie
Ian Yang
John Gunerli
Mark Riedl
313
16
0
18 Sep 2024
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
307
2
0
30 Jul 2024
Transformers and Slot Encoding for Sample Efficient Physical World
  Modelling
Transformers and Slot Encoding for Sample Efficient Physical World Modelling
Francesco Petri
Luigi Asprino
Aldo Gangemi
OCLViT
337
0
0
30 May 2024
Learning Causal Dynamics Models in Object-Oriented Environments
Learning Causal Dynamics Models in Object-Oriented Environments
Zhongwei Yu
Jingqing Ruan
Dengpeng Xing
263
4
0
21 May 2024
Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey
  Beyond 6G
Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G
Walid Saad
Omar Hashash
Christo Kurisummoottil Thomas
Christina Chaccour
Merouane Debbah
N. Mandayam
Zhu Han
AI4CE
408
69
0
29 Apr 2024
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
Yunpeng Qing
Shunyu Liu
Mingli Song
Huiqiong Wang
Weilong Dai
XAI
623
1
0
12 Nov 2022
1
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