IB-DRR - Incremental Learning With Information-Back Discrete Representation Replay. - Jian Jiang 001; Edoardo Cetin; Oya Çeliktutan (CVPR Workshops, 2021)

Domain-Robust Visual Imitation Learning with Mutual Information Constraints. - Edoardo Cetin; Oya Çeliktutan (ICLR, 2021)

Learning Routines for Effective Off-Policy Reinforcement Learning. - Edoardo Cetin; Oya Çeliktutan (ICML, 2021)

Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning. - Edoardo Cetin; Oya Çeliktutan (CoRR, 2021)

Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. - Edoardo Cetin; Philip J. Ball; Stephen J. Roberts; Oya Çeliktutan (ICML, 2022)

Policy Gradient With Serial Markov Chain Reasoning. - Edoardo Cetin; Oya Çeliktutan (NeurIPS, 2022)

Learning Pessimism for Reinforcement Learning. - Edoardo Cetin; Oya Çeliktutan (AAAI, 2023)

A Simple Recipe to Meta-Learn Forward and Backward Transfer. - Edoardo Cetin; Antonio Carta; Oya Çeliktutan (ICCV, 2023)

Hyperbolic Deep Reinforcement Learning. - Edoardo Cetin; Benjamin Paul Chamberlain; Michael M. Bronstein; Jonathan J. Hunt (ICLR, 2023)

Hyperbolic Deep Reinforcement Learning for Continuous Control. - Omar Salemohamed; Edoardo Cetin; Sai Rajeswar; Arnab Kumar Mondal (Tiny Papers @ ICLR, 2023)

Simple Ingredients for Offline Reinforcement Learning. - Edoardo Cetin; Andrea Tirinzoni; Matteo Pirotta; Alessandro Lazaric; Yann Ollivier; Ahmed Touati (ICML, 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 001; Yujin Tang (ICLR, 2025)

Transformer-Squared: Self-adaptive LLMs. - Qi Sun; Edoardo Cetin; Yujin Tang (ICLR, 2025)

Large Language Models to Diffusion Finetuning. - Edoardo Cetin; Tianyu Zhao 001; Yujin Tang (CoRR, 2025)

Sudoku-Bench: Evaluating creative reasoning with Sudoku variants. - Jeffrey Seely; Yuki Imajuku; Tianyu Zhao 001; Edoardo Cetin; Llion Jones (CoRR, 2025)

Text-to-LoRA: Instant Transformer Adaption. - Rujikorn Charakorn; Edoardo Cetin; Yujin Tang; Robert Tjarko Lange (CoRR, 2025)

Reinforcement Learning Teachers of Test Time Scaling. - Edoardo Cetin; Tianyu Zhao 001; Yujin Tang (CoRR, 2025)