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Deep Active Inference as Variational Policy Gradients

Deep Active Inference as Variational Policy Gradients

8 July 2019
Beren Millidge
    BDL
ArXivPDFHTML

Papers citing "Deep Active Inference as Variational Policy Gradients"

17 / 17 papers shown
Title
Boosting MCTS with Free Energy Minimization
Boosting MCTS with Free Energy Minimization
Mawaba Pascal Dao
Adrian Peter
76
0
0
22 Jan 2025
Value of Information and Reward Specification in Active Inference and
  POMDPs
Value of Information and Reward Specification in Active Inference and POMDPs
Ran Wei
54
3
0
13 Aug 2024
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Sungwoo Lee
Younghyun Oh
Hyunhoe An
Hyebhin Yoon
K. Friston
Seok Jun Hong
Choong-Wan Woo
AI4CE
26
1
0
12 Sep 2023
Hierarchical generative modelling for autonomous robots
Hierarchical generative modelling for autonomous robots
Kai Yuan
Noor Sajid
Karl J. Friston
Zhibin Li
29
12
0
15 Aug 2023
A Neural Active Inference Model of Perceptual-Motor Learning
A Neural Active Inference Model of Perceptual-Motor Learning
Zhizhuo Yang
Gabriel J. Diaz
B. Fajen
Reynold J. Bailey
Alexander Ororbia
11
1
0
16 Nov 2022
Learning Policies for Continuous Control via Transition Models
Learning Policies for Continuous Control via Transition Models
Justus F. Huebotter
Serge Thill
Marcel van Gerven
Pablo Lanillos
26
2
0
16 Sep 2022
Successor Representation Active Inference
Successor Representation Active Inference
Beren Millidge
Christopher L. Buckley
BDL
30
3
0
20 Jul 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive
  Agents
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
31
25
0
20 Mar 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI
Social Neuro AI: Social Interaction as the "dark matter" of AI
Samuele Bolotta
G. Dumas
21
22
0
31 Dec 2021
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on
  the Car Racing Problem
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem
Niels van Hoeffelen
Pablo Lanillos
DRL
AI4CE
BDL
19
6
0
09 Sep 2021
Backprop-Free Reinforcement Learning with Active Neural Generative
  Coding
Backprop-Free Reinforcement Learning with Active Neural Generative Coding
Alexander Ororbia
A. Mali
41
15
0
10 Jul 2021
Applications of the Free Energy Principle to Machine Learning and
  Neuroscience
Applications of the Free Energy Principle to Machine Learning and Neuroscience
Beren Millidge
DRL
20
7
0
30 Jun 2021
An empirical evaluation of active inference in multi-armed bandits
An empirical evaluation of active inference in multi-armed bandits
D. Marković
Hrvoje Stojić
Sarah Schwöbel
S. Kiebel
40
34
0
21 Jan 2021
Whence the Expected Free Energy?
Whence the Expected Free Energy?
Beren Millidge
Alexander Tschantz
Christopher L. Buckley
20
68
0
17 Apr 2020
Reinforcement Learning through Active Inference
Reinforcement Learning through Active Inference
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
26
69
0
28 Feb 2020
Scaling active inference
Scaling active inference
Alexander Tschantz
Manuel Baltieri
A. Seth
Christopher L. Buckley
BDL
AI4CE
19
68
0
24 Nov 2019
Off-Policy Actor-Critic
Off-Policy Actor-Critic
T. Degris
Martha White
R. Sutton
OffRL
CML
163
220
0
22 May 2012
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