69 citations · 106 across the 15 of their papers we have counts for
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cs.AI2021
Interpreting Dynamical Systems as Bayesian Reasoners
Nathaniel Virgo, Martin Biehl, Simon McGregor
A central concept in active inference is that the internal states of a physical system parametrise probability measures over states of the external world. These can be seen as an a…
cs.AI2021
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments
Francesco Massari, Martin Biehl, Lisa Meeden +1
Reinforcement Learning (RL) is known to be often unsuccessful in environments with sparse extrinsic rewards. A possible countermeasure is to endow RL agents with an intrinsic rewar…