| Information-theoretic Task Selection for Meta-Reinforcement Learning R Luna Gutierrez, M Leonetti 34th Conference on Neural Information Processing Systems (NeurIPS), 2020 | 22 | 2020 |
| Curriculum learning for cumulative return maximization F Foglino, CC Christakou, RL Gutierrez, M Leonetti Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 13 | 2019 |
| Rl-cam: Visual explanations for convolutional networks using reinforcement learning S Sarkar, AR Babu, S Mousavi, S Ghorbanpour, V Gundecha, A Guillen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Robustness with query-efficient adversarial attack using reinforcement learning S Sarkar, AR Babu, S Mousavi, S Ghorbanpour, V Gundecha, A Guillen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10* | 2023 |
| Reinforcement learning based black-box adversarial attack for robustness improvement S Sarkar, AR Babu, S Mousavi, S Ghorbanpour, V Gundecha, ... 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 8 | 2023 |
| Benchmark generation framework with customizable distortions for image classifier robustness S Sarkar, AR Babu, S Mousavi, Z Carmichael, V Gundecha, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 5 | 2024 |
| Rtdk-bo: High dimensional bayesian optimization with reinforced transformer deep kernels A Shmakov, A Naug, V Gundecha, S Ghorbanpour, RL Gutierrez, ... 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 5 | 2023 |
| Concurrent carbon footprint reduction (c2fr) reinforcement learning approach for sustainable data center digital twin S Sarkar, A Naug, A Guillen, RL Gutierrez, S Ghorbanpour, S Mousavi, ... 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 5 | 2023 |
| Meta Reinforcement Learning for Heuristic Planning RL Gutierrez, M Leonetti Proceedings of the International Conference on Automated Planning and …, 2021 | 5 | 2021 |
| Real-time Carbon Footprint Minimization in Sustainable Data Centers with Reinforcement Learning S Sarkar, A Naug, RL Gutierrez, A Guillen, V Gundecha, AR Babu, C Bash NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023 | 4 | 2023 |
| A configurable pythonic data center model for sustainable cooling and ml integration A Naug, A Guillen, RL Gutierrez, V Gundecha, S Ghorbanpour, S Mousavi, ... arXiv preprint arXiv:2404.12498, 2024 | 3 | 2024 |
| Pydcm: Custom data center models with reinforcement learning for sustainability A Naug, A Guillen, R Luna Gutiérrez, V Gundecha, S Ghorbanpour, ... Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 2 | 2023 |
| Sustainability of Data Center Digital Twins with Reinforcement Learning S Sarkar, A Naug, A Guillen, R Luna, V Gundecha, AR Babu, S Mousavi Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23832 …, 2024 | 1 | 2024 |
| Carbon Footprint Reduction for Sustainable Data Centers in Real-Time S Sarkar, A Naug, R Luna, A Guillen, V Gundecha, S Ghorbanpour, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22322 …, 2024 | | 2024 |
| Efficient Meta-Reinforcement Learning R Luna Gutierrez University of Leeds, 2022 | | 2022 |
| Enhancing Large Language Models with Ensemble of Critics for Mitigating Toxicity and Hallucination S Mousavi, RL Gutierrez, D Rengarajan, V Gundecha, AR Babu, A Naug, ... R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 0 | | |
Matteo LeonettiDepartment of Informatics, King's College LondonVerified email at kcl.ac.uk
