Pierluca D'Oro

29 papers A* 11Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ADEPTS: A Capability Framework for Human-Centered Agent Design. CoRR Pierluca D'Oro, Caley Drooff, Joy Chen, Joseph Tighe
2025	J	`jnl`	Controlling Multimodal LLMs via Reward-guided Decoding. CoRR Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal
2025	J	`jnl`	DigiData: Training and Evaluating General-Purpose Mobile Control Agents. CoRR Yuxuan Sun, Manchen Wang, Shengyi Qian, William R. Wong, Eric Gan, Pierluca D'Oro, Alejandro Castillejo Munoz, Sneha Silwal, Pedro Matias, Nitin Kamra, Satwik Kottur, Nick Raines, Xuanyi Zhao, Joy Chen, Joseph Greer, Andrea Madotto, Allen Bolourchi, James Valori, Kevin Carlberg, Karl Ridgeway, Joseph Tighe
2025	A*	`conf`	MaestroMotif: Skill Design from Artificial Intelligence Feedback. ICLR Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro
2025	J	`jnl`	Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons. Trans. Mach. Learn. Res. Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Irina Rish, Pierre-Luc Bacon, Razvan Pascanu, Aristide Baratin
2025	J	`jnl`	Mol-MoE: Training Preference-Guided Routers for Molecule Generation. CoRR Diego Calanzone, Pierluca D'Oro, Pierre-Luc Bacon
2025	A*	`conf`	Towards General-Purpose Model-Free Reinforcement Learning. ICLR Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, Michael Rabbat
2025	J	`jnl`	Towards General-Purpose Model-Free Reinforcement Learning. CoRR Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, Michael Rabbat
2024	J	`jnl`	Controlling Large Language Model Agents with Entropic Activation Steering. CoRR Nate Rahn, Pierluca D'Oro, Marc G. Bellemare
2024	A*	`conf`	Do Transformer World Models Give Better Policy Gradients? ICML Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon
2024	J	`jnl`	Do Transformer World Models Give Better Policy Gradients? CoRR Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon
2024	J	`jnl`	MaestroMotif: Skill Design from Artificial Intelligence Feedback. CoRR Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro
2024	J	`jnl`	Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons. CoRR Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Razvan Pascanu, Pierre-Luc Bacon, Aristide Baratin
2024	A*	`conf`	Motif: Intrinsic Motivation from Artificial Intelligence Feedback. ICLR Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
2024	A*	`conf`	The Curse of Diversity in Ensemble-Based Exploration. ICLR Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville
2024	J	`jnl`	The Curse of Diversity in Ensemble-Based Exploration. CoRR Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville
2023	J	`jnl`	Motif: Intrinsic Motivation from Artificial Intelligence Feedback. CoRR Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
2023	A*	`conf`	Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control. NeurIPS Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare
2023	J	`jnl`	Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control. CoRR Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare
2023	A*	`conf`	Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier. ICLR Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G. Bellemare, Aaron C. Courville
2022	A*	`conf`	The Primacy Bias in Deep Reinforcement Learning. ICML Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
2022	J	`jnl`	The Primacy Bias in Deep Reinforcement Learning. CoRR Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
2021	A*	`conf`	Policy Optimization as Online Learning with Mediator Feedback. AAAI Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli
2020	A*	`conf`	Gradient-Aware Model-Based Policy Search. AAAI Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli
2020	A*	`conf`	How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization. NeurIPS Pierluca D'Oro, Wojciech Jaskowski
2020	J	`jnl`	How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization. CoRR Pierluca D'Oro, Wojciech Jaskowski
2020	J	`jnl`	Policy Optimization as Online Learning with Mediator Feedback. CoRR Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli
2020	J	`jnl`	Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs. CoRR Giorgio Giannone, Asha Anoosheh, Alessio Quaglino, Pierluca D'Oro, Marco Gallieri, Jonathan Masci
2019	J	`jnl`	Gradient-Aware Model-based Policy Search. CoRR Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli