This white paper lays out a vision of research and development in the fi...
Predictive coding is an influential model of cortical neural activity. I...
Active inference is an account of cognition and behavior in complex syst...
Active inference is a mathematical framework which originated in
computa...
The exploration-exploitation trade-off is central to the description of
...
The Kalman filter is a fundamental filtering algorithm that fuses noisy
...
The recently proposed Activation Relaxation (AR) algorithm provides a si...
Predictive coding is an influential theory of cortical function which po...
The backpropagation of error algorithm (backprop) has been instrumental ...
The field of reinforcement learning can be split into model-based and
mo...
Active Inference (AIF) is an emerging framework in the brain sciences wh...
There are several ways to categorise reinforcement learning (RL) algorit...
Backpropagation of error (backprop) is a powerful algorithm for training...
The Expected Free Energy (EFE) is a central quantity in the theory of ac...
The central tenet of reinforcement learning (RL) is that agents seek to
...
In reinforcement learning (RL), agents often operate in partially observ...