1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Geometry of Friston's active inference
Martin Biehl
We reconstruct Karl Friston's active inference and give a geometrical interpretation of it.
Being curious about the answers to questions: novelty search with learned attention
Nicholas Guttenberg, Martin Biehl, Nathaniel Virgo +1
We investigate the use of attentional neural network layers in order to learn a `behavior characterization' which can be used to drive novelty search and curiosity-based policies.…
Learning body-affordances to simplify action spaces
Nicholas Guttenberg, Martin Biehl, Ryota Kanai
Controlling embodied agents with many actuated degrees of freedom is a challenging task. We propose a method that can discover and interpolate between context dependent high-level…