Deep active inference agents using Monte-Carlo methods

Deep active inference agents using Monte-Carlo methods

7 June 2020

Karl J. Friston

Papers citing "Deep active inference agents using Monte-Carlo methods"

19 / 19 papers shown

Title
An Active Inference perspective on Neurofeedback Training Côme Annicchiarico F. Lotte J. Mattout 44 0 0 06 May 2025
Boosting MCTS with Free Energy Minimization Mawaba Pascal Dao Adrian Peter 81 0 0 22 Jan 2025
Object-centric proto-symbolic behavioural reasoning from pixels R. S. V. Bergen Justus F. Hübotter Pablo Lanillos LM&Ro OCL 98 0 0 26 Nov 2024
A general Markov decision process formalism for action-state entropy-regularized reward maximization D. Grytskyy Jorge Ramírez-Ruiz R. Moreno-Bote 22 3 0 02 Feb 2023
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models Stefano Ferraro Toon Van de Maele Pietro Mazzaglia Tim Verbelen Bart Dhoedt 3DV OCL DRL 34 8 0 16 Sep 2022
Efficient search of active inference policy spaces using k-means Alex B. Kiefer Mahault Albarracin 35 0 0 06 Sep 2022
Successor Representation Active Inference Beren Millidge Christopher L. Buckley BDL 30 3 0 20 Jul 2022
Multi-Modal and Multi-Factor Branching Time Active Inference Théophile Champion Marek Grze's Howard L. Bowman 29 2 0 24 Jun 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 38 25 0 20 Mar 2022
Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments Takazumi Matsumoto Wataru Ohata Fabien C. Y. Benureau Jun Tani 26 11 0 21 Feb 2022
pymdp: A Python library for active inference in discrete state spaces Conor Heins Beren Millidge Daphne Demekas Brennan Klein Karl J. Friston I. Couzin Alexander Tschantz AI4CE 48 48 0 11 Jan 2022
Branching Time Active Inference with Bayesian Filtering Théophile Champion Marek Grze's Howard L. Bowman AI4CE 38 4 0 14 Dec 2021
Active Inference in Robotics and Artificial Agents: Survey and Challenges Pablo Lanillos Cristian Meo Corrado Pezzato A. Meera Mohamed Baioumy ... Alexander Tschantz Beren Millidge M. Wisse Christopher L. Buckley Jun Tani AI4CE 45 75 0 03 Dec 2021
Active inference, Bayesian optimal design, and expected utility Noor Sajid Lancelot Da Costa Thomas Parr Karl J. Friston 30 16 0 21 Sep 2021
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem Niels van Hoeffelen Pablo Lanillos DRL AI4CE BDL 32 6 0 09 Sep 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 28 7 0 30 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Z. Fountas Karl J. Friston 22 20 0 08 Jun 2021
An empirical evaluation of active inference in multi-armed bandits D. Marković Hrvoje Stojić Sarah Schwöbel S. Kiebel 42 34 0 21 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015