Alessandro Allievi

According to our database, Alessandro Allievi authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Curriculum Learning With Successor Features for Imbalanced Compositional Reward Functions.

Laszlo Szoke, Shahaf S. Shperberg, Jarrett Holtz, Alessandro Allievi

IEEE Robotics Autom. Lett., June, 2024

Models of human preference for learning reward functions.

W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Gabriele Allievi

Trans. Mach. Learn. Res., 2024

Latent-Predictive Empowerment: Measuring Empowerment without a Simulator.

Andrew Levy, Alessandro Allievi, George Konidaris

CoRR, 2024

Gaze Supervision for Mitigating Causal Confusion in Driving Agents.

Abhijat Biswas, Badal Arun Pardhi, Caleb Chuck, Jarrett Holtz, Scott Niekum, Henny Admoni, Alessandro Allievi

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

VLP: Vision Language Planning for Autonomous Driving.

Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro Gabriele Allievi, Senem Velipasalar, Liu Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reward (Mis)design for Autonomous Driving (Abstract Reprint).

W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reward (Mis)design for autonomous driving.

W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone

Artif. Intell., March, 2023

Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning.

Andrew Levy, Sreehari Rammohan, Alessandro Allievi, Scott Niekum, George Konidaris

CoRR, 2023

The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.

Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects.

Shahaf S. Shperberg, Bo Liu, Alessandro Allievi, Peter Stone

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback.

Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The EMPATHIC Framework for Task Learning from Implicit Human Feedback.

Yuchen Cui, Qiping Zhang, W. Bradley Knox, Alessandro Allievi, Peter Stone, Scott Niekum

Proceedings of the 4th Conference on Robot Learning, 2020

2016

An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer T_E without loss of temporal efficiency.

Giulio Ferrazzi, Rita Gouveia Nunes, Tomoki Arichi, Andreia S. Gaspar, Giovanni Barone, Alessandro Allievi, Serge Vasylechko, Maryam Abaei, Emer J. Hughes, Daniel Rueckert, Anthony N. Price, Joseph V. Hajnal

NeuroImage, 2016

A Versatile Robotic Haptic Stimulator to Study the Influence of Pain on Human Motor Control and Learning.

Maxime Jeanneret, Carlo Bagnato, Alessandro Gabriele Allievi, Etienne Burdet

Proceedings of the Haptics: Perception, Devices, Control, and Applications, 2016

2012

Development of BOLD signal hemodynamic responses in the human brain.

Tomoki Arichi, Gianlorenzo Fagiolo, Marta Varela, Alejandro Melendez-Calderon, Alessandro Allievi, Nazakat Merchant, Nora Tusor, Serena J. Counsell, Etienne Burdet, Christian F. Beckmann, A. David Edwards

NeuroImage, 2012