58 citations · 85 across the 10 of their papers we have counts for
4 papers · 1 filter
AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models
Conor Heins, Toon Van de Maele, Alexander Tschantz +11
Current deep reinforcement learning (DRL) approaches achieve state-of-the-art performance in various domains, but struggle with data efficiency compared to human learning, which le…
Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm
Beren Millidge, Alexander Tschantz, Anil Seth +1
The recently proposed Activation Relaxation (AR) algorithm provides a simple and robust approach for approximating the backpropagation of error algorithm using only local learning…
On the Relationship Between Active Inference and Control as Inference
Beren Millidge, Alexander Tschantz, Anil K Seth +1
Active Inference (AIF) is an emerging framework in the brain sciences which suggests that biological agents act to minimise a variational bound on model evidence. Control-as-Infere…
Whence the Expected Free Energy?
Beren Millidge, Alexander Tschantz, Christopher L Buckley
The Expected Free Energy (EFE) is a central quantity in the theory of active inference. It is the quantity that all active inference agents are mandated to minimize through action,…