Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian
Networks

v1v2v3 (latest)

Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks

30 January 2014

Stefano V. Albrecht

ArXiv (abs)PDF HTML

Papers citing "Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks"

8 / 8 papers shown

Title
Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour Bálint Gyevnár Christopher G. Lucas Stefano V. Albrecht Shay B. Cohen LRM 141 0 0 23 May 2025
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 72 19 0 23 May 2023
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Ignacio Carlucho Niklas Höpner Stefano V. Albrecht 112 11 0 11 Oct 2022
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles Josiah P. Hanna Arrasy Rahman Elliot Fosong Francisco Eiras M. Dobre John Redford S. Ramamoorthy Stefano V. Albrecht 169 26 0 05 Aug 2021
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning Filippos Christianos Lukas Schafer Stefano V. Albrecht 144 169 0 12 Jun 2020
Reasoning about Hypothetical Agent Behaviours and their Parameters Stefano V. Albrecht Peter Stone 96 63 0 26 Jun 2019
Reasoning about Unforeseen Possibilities During Policy Learning Craig Innes A. Lascarides Stefano V. Albrecht S. Ramamoorthy Benjamin Rosman LRM 130 0 0 10 Jan 2018
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems Stefano V. Albrecht Peter Stone 167 475 0 23 Sep 2017