Causal Influence Detection for Improving Efficiency in Reinforcement
Learning

Causal Influence Detection for Improving Efficiency in Reinforcement Learning

7 June 2021

Maximilian Seitzer

Bernhard Schölkopf

Papers citing "Causal Influence Detection for Improving Efficiency in Reinforcement Learning"

17 / 17 papers shown

Title
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer Minh Hoang Nguyen Linh Le Pham Van Thommen George Karimpanal Sunil Gupta Hung Le OffRL LRM 37 0 0 14 May 2025
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning Caleb Chuck Fan Feng Carl Qi Chang Shi Siddhant Agarwal Amy Zhang S. Niekum 47 0 0 06 May 2025
Wanting to be Understood Chrisantha Fernando Dylan Banarse Simon Osindero 41 0 0 09 Apr 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning Rishav Rishav Somjit Nath Vincent Michalski Samira Ebrahimi Kahou FAtt OffRL 70 0 0 19 Mar 2025
CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation Yuanchen Yuan Jin Cheng Núria Armengol Urpí Stelian Coros 74 1 0 02 Feb 2025
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation Wenzhang Liu Lianjun Jin Lu Ren Chaoxu Mu Changyin Sun CML 50 0 0 24 Jan 2025
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 51 3 0 23 Oct 2024
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 54 0 0 15 Jul 2024
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 26 3 0 21 Jan 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning Xiao Du Yutong Ye Peng Zhang Yaning Yang Mingsong Chen Ting Wang 35 4 0 15 Dec 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework C. Cunha Wei Liu T. French Ajmal Mian 26 1 0 26 Feb 2023
Estimating Regression Predictive Distributions with Sample Networks Ali Harakeh Jordan S. K. Hu Naiqing Guan Steven L. Waslander Liam Paull BDL UQCV 30 4 0 24 Nov 2022
Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto 47 18 0 29 Oct 2022
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning H. Khadilkar Hardik Meisheri OffRL 34 1 0 28 Oct 2022
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains Christian Gumbsch Martin Volker Butz Georg Martius AI4CE 26 21 0 29 Oct 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 64 16 0 09 Sep 2021
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020