4 citations · 5 across the 3 of their papers we have counts for
5 papers
From Language to Drives: A Multimodal Framework for Aligning Autonomous Robots with Human Purposes
Diana Cerdas-Vargas, Alejandro Romero, Richard J. Duro
This work explores a multimodal approach to the alignment of the behavior of open-ended learning autonomous robots with human purposes through the use of large language models as c…
Acceptable Misalignment
Maud van Lier, Ludovica Marinucci, Vieri Giuliano Santucci +4
There is a specific challenge designers face in developing autonomous robots capable of open-ended learning. This challenge is how one can develop such systems in an ethically soun…
A Motivational Architecture for Open-Ended Learning Challenges in Robots
Alejandro Romero, Gianluca Baldassarre, Richard J. Duro +1
Developing agents capable of autonomously interacting with complex and dynamic environments, where task structures may change over time and prior knowledge cannot be relied upon, i…
The Autonomy-Alignment Problem in Open-Ended Learning Robots: Formalising the Purpose Framework
Gianluca Baldassarre, Richard J. Duro, Emilio Cartoni +3
The rapid advancement of artificial intelligence is enabling the development of increasingly autonomous robots capable of operating beyond engineered factory settings and into the…
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
Olivier Sigaud, Gianluca Baldassarre, Cedric Colas +5
A lot of recent machine learning research papers have ``open-ended learning'' in their title. But very few of them attempt to define what they mean when using the term. Even worse,…