3 papers
cs.RO2025
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…
cs.RO2025
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…
cs.LG2025
Autonomous state-space segmentation for Deep-RL sparse reward scenarios
Gianluca Maselli, Vieri Giuliano Santucci
Dealing with environments with sparse rewards has always been crucial for systems developed to operate in autonomous open-ended learning settings. Intrinsic Motivations could be an…