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Edoardo Cetin

12 papers · 2021–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+3 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (24) πŸ† Grand Slam
πŸ—ƒοΈ Keyword Collector (61) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze

Venues

ICML (5) ICLR (4) AAAI (1) ICCV (1) NeurIPS (1)

Top co-authors

Oya Celiktutan (6) Yujin Tang (4) Qi Sun (2) Tianyu Zhao (2) Robert Tjarko Lange (1) Antonio Carta (1) Philip J Ball (1) Jonathan J Hunt (1) Matteo Pirotta (1) Benjamin Paul Chamberlain (1)

Research topics

Machine Learning (10) Artificial Intelligence (7) Reinforcement Learning (6) Learning Types (6) Methods (6) Core AI (5) Application Areas (4) Learning Paradigms Β· Artificial Intelligence (3) Deep Learning (2) Natural Language Processing (2) Mathematics & Optimization (1) Applications (1) Architectures (1) Generation (1) Learning Paradigms Β· Machine Learning (1)

Keywords

deep reinforcement learning (4) large language model (3) reinforcement learning (3) off-policy learning (2) temporal difference learning (2) off-policy reinforcement learning (2) latent representation (2) policy learning (1) decision making (1) adversarial learning (1) domain adaptation (1) policy gradient (1) transfer learning (1) transformer (1) catastrophic forgetting (1) markov chain (1) feature space (1) policy optimization (1) mutual information (1) computational efficiency (1)

Papers

An Evolved Universal Transformer Memory ICLR 2025 Large Language Models to Diffusion Finetuning ICML 2025 Text-to-LoRA: Instant Transformer Adaption ICML 2025 Transformer-Squared: Self-adaptive LLMs ICLR 2025 Simple Ingredients for Offline Reinforcement Learning ICML 2024 A Simple Recipe to Meta-Learn Forward and Backward Transfer ICCV 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 Learning Pessimism for Reinforcement Learning AAAI 2023 Policy Gradient With Serial Markov Chain Reasoning NeurIPS 2022 Stabilizing Off-Policy Deep Reinforcement Learning from Pixels ICML 2022 Domain-Robust Visual Imitation Learning with Mutual Information Constraints ICLR 2021 Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021