Pierluca D'Oro

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Intrinsic Motivation

Reinforcement Learning

Ensemble Feature Selection

Global Optimization

Top Venues

Publications

Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon
Do Transformer World Models Give Better Policy Gradients? CoRR (2024)
Nate Rahn, Pierluca D'Oro, Marc G. Bellemare
Controlling Large Language Model Agents with Entropic Activation Steering. CoRR (2024)
Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Razvan Pascanu, Pierre-Luc Bacon, Aristide Baratin
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons. CoRR (2024)
Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
Motif: Intrinsic Motivation from Artificial Intelligence Feedback. ICLR (2024)
Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville
The Curse of Diversity in Ensemble-Based Exploration. CoRR (2024)
Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville
The Curse of Diversity in Ensemble-Based Exploration. ICLR (2024)
Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G. Bellemare, Aaron C. Courville
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier. ICLR (2023)
Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
Motif: Intrinsic Motivation from Artificial Intelligence Feedback. CoRR (2023)
Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control. NeurIPS (2023)
Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control. CoRR (2023)
Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
The Primacy Bias in Deep Reinforcement Learning. ICML (2022)
Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
The Primacy Bias in Deep Reinforcement Learning. CoRR (2022)
Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli
Policy Optimization as Online Learning with Mediator Feedback. AAAI (2021)
Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli
Gradient-Aware Model-Based Policy Search. AAAI (2020)
Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli
Policy Optimization as Online Learning with Mediator Feedback. CoRR (2020)
Pierluca D'Oro, Wojciech Jaskowski
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization. NeurIPS (2020)
Pierluca D'Oro, Wojciech Jaskowski
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization. CoRR (2020)
Giorgio Giannone, Asha Anoosheh, Alessio Quaglino, Pierluca D'Oro, Marco Gallieri, Jonathan Masci
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs. CoRR (2020)
Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli
Gradient-Aware Model-based Policy Search. CoRR (2019)