Causal Reinforcement Learning using Observational and Interventional
Data

Causal Reinforcement Learning using Observational and Interventional Data

28 June 2021

Guillaume Gaudron

Pierre-Yves Oudeyer

Papers citing "Causal Reinforcement Learning using Observational and Interventional Data"

11 / 11 papers shown

Title
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 30 0 0 13 May 2025
Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks Ricardo Cannizzaro Rhys Howard P. Lewińska Lars Kunze 32 4 0 19 Aug 2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Saki Omi Hyo-Sang Shin Namhoon Cho Antonios Tsourdos 21 3 0 29 Jul 2023
Functional Causal Bayesian Optimization Limor Gultchin Virginia Aglietti Alexis Bellot Silvia Chiappa CML 27 4 0 10 Jun 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework C. Cunha Wei Liu T. French Ajmal Saeed Mian 23 1 0 26 Feb 2023
Causal Deep Reinforcement Learning Using Observational Data Wenxuan Zhu Chao Yu Q. Zhang CML OffRL 26 5 0 28 Nov 2022
Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto 44 18 0 29 Oct 2022
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning H. Khadilkar Hardik Meisheri OffRL 22 1 0 28 Oct 2022
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 44 17 0 12 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020