Edoardo Cetin

According to our database, Edoardo Cetin authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting.

Edoardo Cetin, Ahmed Touati, Yann Ollivier

CoRR, 2024

An Evolved Universal Transformer Memory.

Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang

CoRR, 2024

Simple Ingredients for Offline Reinforcement Learning.

Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati

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

2023

Hyperbolic Deep Reinforcement Learning for Continuous Control.

Omar Salemohamed, Edoardo Cetin, Sai Rajeswar, Arnab Kumar Mondal

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Hyperbolic Deep Reinforcement Learning.

Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J. Hunt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Simple Recipe to Meta-Learn Forward and Backward Transfer.

Edoardo Cetin, Antonio Carta, Oya Çeliktutan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Pessimism for Reinforcement Learning.

Edoardo Cetin, Oya Çeliktutan

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

2022

Policy Gradient With Serial Markov Chain Reasoning.

Edoardo Cetin, Oya Çeliktutan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stabilizing Off-Policy Deep Reinforcement Learning from Pixels.

Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya Çeliktutan

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning.

Edoardo Cetin, Oya Çeliktutan

CoRR, 2021

Learning Routines for Effective Off-Policy Reinforcement Learning.

Edoardo Cetin, Oya Çeliktutan

Proceedings of the 38th International Conference on Machine Learning, 2021

Domain-Robust Visual Imitation Learning with Mutual Information Constraints.

Edoardo Cetin, Oya Çeliktutan

Proceedings of the 9th International Conference on Learning Representations, 2021

IB-DRR - Incremental Learning With Information-Back Discrete Representation Replay.

Jian Jiang, Edoardo Cetin, Oya Çeliktutan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021