| Stabilizing Off-Policy Deep Reinforcement Learning from Pixels E Cetin, PJ Ball, S Roberts, O Celiktutan International Conference on Machine Learning 2022 140, 2784--2810, 2022 | 43 | 2022 |
| Hyperbolic Deep Reinforcement Learning E Cetin, B Chamberlain, M Bronstein, JJ Hunt The Eleventh International Conference on Learning Representations (Notable …, 2023 | 24 | 2023 |
| Learning Pessimism for Reinforcement Learning E Cetin, O Celiktutan The 37th AAAI Conference on Artificial Intelligence (Oral), 2023 | 22* | 2023 |
| Domain-Robust Visual Imitation Learning with Mutual Information Constraints E Cetin, O Celiktutan International Conference on Learning Representations 2021, 2021 | 19 | 2021 |
| Ib-drr-incremental learning with information-back discrete representation replay J Jiang, E Cetin, O Celiktutan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 13 | 2021 |
| Instant transformer adaption via hyperlora R Charakorn, E Cetin, Y Tang, RT Lange Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 2024 | 2 | 2024 |
| Simple Ingredients for Offline Reinforcement Learning E Cetin, A Tirinzoni, M Pirotta, A Lazaric, Y Ollivier, A Touati International Conference on Machine Learning 2024, 2024 | 2 | 2024 |
| Learning Routines for Effective Off-Policy Reinforcement Learning E Cetin, O Celiktutan International Conference on Machine Learning 2021 139, 1384--1394, 2021 | 2 | 2021 |
| An Evolved Universal Transformer Memory E Cetin, Q Sun, T Zhao, Y Tang arXiv preprint arXiv:2410.13166, 2024 | 1 | 2024 |
| A Simple Recipe to Meta-Learn Forward and Backward Transfer E Cetin, A Carta, O Celiktutan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Policy Gradient With Serial Markov Chain Reasoning E Cetin, O Celiktutan Advances in Neural Information Processing Systems 35, 8824-8839, 2022 | 1 | 2022 |
| Large Language Models to Diffusion Finetuning E Cetin, T Zhao, Y Tang arXiv preprint arXiv:2501.15781, 2025 | | 2025 |
| : Self-adaptive LLMs Q Sun, E Cetin, Y Tang arXiv preprint arXiv:2501.06252, 2025 | | 2025 |
| Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting E Cetin, A Touati, Y Ollivier arXiv preprint arXiv:2412.04368, 2024 | | 2024 |
| Hyperbolic Deep Reinforcement Learning for Continuous Control O Salemohamed, E Cetin, S Rajeswar, AK Mondal | | 2023 |
Oya CeliktutanAssociate Professor/Reader, SAIR Lab, Centre for Robotics Research, King's College LondonE-mailová adresa ověřena na: kcl.ac.uk