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Applications of the Free Energy Principle to Machine Learning and
  Neuroscience

Applications of the Free Energy Principle to Machine Learning and Neuroscience

30 June 2021
Beren Millidge
    DRL
ArXivPDFHTML

Papers citing "Applications of the Free Energy Principle to Machine Learning and Neuroscience"

8 / 8 papers shown
Title
Predictive Coding Networks and Inference Learning: Tutorial and Survey
Predictive Coding Networks and Inference Learning: Tutorial and Survey
B. V. Zwol
Ro Jefferson
E. V. D. Broek
63
0
0
04 Jul 2024
Active Inference Meeting Energy-Efficient Control of Parallel and
  Identical Machines
Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines
Yavar Taheri Yeganeh
Mohsen Jafari
Andrea Matta
40
0
0
13 Jun 2024
Planning to Learn: A Novel Algorithm for Active Learning during
  Model-Based Planning
Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning
Rowan Hodson
Bruce A. Bassett
C. V. Hoof
Benjamin Rosman
M. Solms
Jonathan Shock
Ryan Smith
33
0
0
15 Aug 2023
Successor Representation Active Inference
Successor Representation Active Inference
Beren Millidge
Christopher L. Buckley
BDL
30
3
0
20 Jul 2022
Reward Maximisation through Discrete Active Inference
Reward Maximisation through Discrete Active Inference
Lancelot Da Costa
Noor Sajid
Thomas Parr
Karl J. Friston
Ryan Smith
38
4
0
17 Sep 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
343
1,968
0
04 May 2020
Robot Playing Kendama with Model-Based and Model-Free Reinforcement Learning
Shidi Li
18
6
0
15 Mar 2020
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
157
408
0
25 Sep 2019
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