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2006.04176
Cited By
Deep active inference agents using Monte-Carlo methods
7 June 2020
Zafeirios Fountas
Noor Sajid
P. Mediano
Karl J. Friston
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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
Zafeirios Fountas
Karl J. Friston
24
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
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