| Transformers are meta-reinforcement learners LC Melo international conference on machine learning, 15340-15359, 2022 | 52 | 2022 |
| Housing prices prediction with a deep learning and random forest ensemble B Afonso, L Melo, W Oliveira, S Sousa, L Berton Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional …, 2019 | 49 | 2019 |
| Learning humanoid robot running skills through proximal policy optimization LC Melo, MROA Máximo 2019 Latin american robotics symposium (LARS), 2019 Brazilian symposium on …, 2019 | 37 | 2019 |
| Robótica Educacional: Experiências Inovadoras na Educação Brasileira R Barbosa, P Blikstein Penso Editora, 2018 | 25 | 2018 |
| Learning humanoid robot running motions with symmetry incentive through proximal policy optimization LC Melo, DC Melo, MROA Maximo Journal of Intelligent & Robotic Systems 102 (3), 54, 2021 | 20 | 2021 |
| MARS-Gym: Offline Reinforcement Learning for Recommender Systems in Marketplaces MRO Santana*, LC Melo*, FHF Camargo*, B Brandão, A Soares, ... Workshop on Challenges of Real-World Reinforcement Learning at the 34th …, 2020 | 20* | 2020 |
| Contextual Meta-Bandit for Recommender Systems Selection MRO Santana*, LC Melo*, FHF Camargo*, B Brandão, A Soares, ... Fourteenth ACM Conference on Recommender Systems, 444-449, 2020 | 12 | 2020 |
| Learning humanoid robot motions through deep neural networks LC Melo, MROA Maximo, AM da Cunha arXiv preprint arXiv:1901.00270, 2019 | 8 | 2019 |
| Report of the Expert Panel on the Technical Causes of the Failure of Feijão Dam I. December 12 2019 PK Robertson, L Melo, DJ Wiliams, GW Wilson http://www. b1technicalinvestigation. com/pt/>. Acessado em 13 (02), 2020, 2019 | 8 | 2019 |
| Multiagent reinforcement learning for strategic decision making and control in robotic soccer through self-play B Brandão, TW De Lima, A Soares, L Melo, MROA Maximo IEEE Access 10, 72628-72642, 2022 | 7 | 2022 |
| Bottom-Up Meta-Policy Search LC Melo, MROA Maximo, AM da Cunha Workshop on Deep Reinforcement Learning at the 33rd Conference on Neural …, 2019 | 7 | 2019 |
| ITAndroids Soccer3D Team Description Paper 2018 D Melo, EE Soares, G Nahum, H Lopes, J Freire, L Maia, L Melo, ... | 1 | 2018 |
| ITAndroids Soccer3D Team Description Paper 2016 A Muzio, D Melo, E Henrique, F Muniz, I Marzzo, JL Saraiva, L Melo, ... | 1 | 2016 |
| Deep Bayesian Active Learning for Preference Modeling in Large Language Models LC Melo, P Tigas, A Abate, Y Gal arXiv preprint arXiv:2406.10023, 2024 | | 2024 |
| PulseRL: Enabling Offline Reinforcement Learning for Digital Marketing Systems via Conservative Q-Learning L Melo*, L Martins*, B Oliveira*, B Brandao*, DW Soares, T Lima 2nd Offline Reinforcement Learning Workshop at Neural Information Processing …, 2021 | | 2021 |
| ITAndroids Soccer3D Team Description Paper 2019 B Bertucci, D Melo, D Fidalgo, G Oliveira, I Ferreira, J Freire, L Gameiro, ... | | 2019 |
| Improving Diagnosis in Health Care Systems L Melo, VU Pugliese, DA da Silva, F Rocha, RM de Barros Santana, ... | | 2018 |
| Duas novas cultivares de feijão. L MELO | | 2010 |
| Alfalfa yield as a function of soil water matric potential and potassium levels. REF Teodoro, RF Oliveira, GH Korndörfer, VPS Paz, LC Melo | | 2000 |
