no code implementations • 14 Dec 2023 • Mattijs Baert, Sam Leroux, Pieter Simoens
The alignment of autonomous agents with human values is a pivotal challenge when deploying these agents within physical environments, where safety is an important concern.
no code implementations • 4 May 2023 • Mattijs Baert, Pietro Mazzaglia, Sam Leroux, Pieter Simoens
To address this challenge, we propose a novel method that utilizes the principle of maximum causal entropy to learn constraints and an optimal policy that adheres to these constraints, using demonstrations of agents that abide by the constraints.
no code implementations • 19 Jan 2021 • Mattijs Baert, Sam Leroux, Pieter Simoens
For this, we train a variational autoencoder on high quality face images from a publicly available dataset and use the reconstruction probability as a metric to estimate the quality of each face crop.