Pierluca D'Oro

According to our database, Pierluca D'Oro authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Controlling Large Language Model Agents with Entropic Activation Steering.

Nate Rahn, Pierluca D'Oro, Marc G. Bellemare

CoRR, 2024

Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons.

Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Razvan Pascanu, Pierre-Luc Bacon, Aristide Baratin

CoRR, 2024

Do Transformer World Models Give Better Policy Gradients?

Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Curse of Diversity in Ensemble-Based Exploration.

Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Motif: Intrinsic Motivation from Artificial Intelligence Feedback.

Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control.

Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier.

Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G. Bellemare, Aaron C. Courville

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

The Primacy Bias in Deep Reinforcement Learning.

Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville

Proceedings of the International Conference on Machine Learning, 2022

2021

Policy Optimization as Online Learning with Mediator Feedback.

Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli

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

2020

Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs.

Giorgio Giannone, Asha Anoosheh, Alessio Quaglino, Pierluca D'Oro, Marco Gallieri, Jonathan Masci

CoRR, 2020

How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization.

Pierluca D'Oro, Wojciech Jaskowski

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Gradient-Aware Model-Based Policy Search.

Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020