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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Scaling active inference
Published @ IEEE WCCI, 2019
Alexander Tschantz, Manuel Baltieri, Anil. K. Seth, Christopher L. Buckley
Reinforcement Learning through Active Inference
Spotlight @ Bridging AI and Cognitive Science Workshop (ICML), 2020
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
Whence the Expected Free Energy?
ArXiv, 2020
Beren Millidge, Alexander Tschantz, Christopher L Buckley
Learning action-oriented models through active inference
PLOS Computational Biology, 2020
Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
Curious Inferences: Reply to Sun & Firestone on the Dark Room Problem
Response in Trends in Cognitive Science, 2020
Anil K. Seth, Beren Millidge, Christopher L Buckley, Alexander Tschantz
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
ArXiv, 2020
Beren Millidge, Alexander Tschantz, Christopher L Buckley
Reinforcement Learning as Iterative and Amortised Inference
ArXiv, 2020
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L Buckley
Reinforcement Learning as Iterative and Amortised Inference
ArXiv, 2020
Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L Buckley
Control as Hybrid Inference
Accepted @ Theoretical Foundations of RL Workshop (ICLR), 2020
Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Infer Actively
2020
A modular Python implementation of active inference for Markov Decision Processes