Applications of the Free Energy Principle to Machine Learning and Neuroscience

30 June 2021

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 B. V. Zwol Ro Jefferson E. V. D. Broek 50 0 0 04 Jul 2024
Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines Yavar Taheri Yeganeh Mohsen Jafari Andrea Matta 21 0 0 13 Jun 2024
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 17 0 0 15 Aug 2023
Successor Representation Active Inference Beren Millidge Christopher L. Buckley BDL 14 3 0 20 Jul 2022
Reward Maximisation through Discrete Active Inference Lancelot Da Costa Noor Sajid Thomas Parr Karl J. Friston Ryan Smith 10 4 0 17 Sep 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020
Robot Playing Kendama with Model-Based and Model-Free Reinforcement Learning Shidi Li 11 6 0 15 Mar 2020
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 143 407 0 25 Sep 2019