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ORCIDLuckeciano Carvalho Melo
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2020 – today
- 2026
[c7]Murilo Lopes da Luz, Bruno Brandão, Luana G. B. Martins, Gustavo Oliveira, Bryan L. M. de Oliveira, Luckeciano Carvalho Melo, Telma W. L. Soares:
Partial Reasoning in Language Models: Search and Refinement Guided by Uncertainty. LaCATODA@AAAI 2026: 106-116- [i14]Murilo Lopes da Luz, Bruno Brandão, Luana G. B. Martins, Gustavo Oliveira, Bryan L. M. de Oliveira, Luckeciano Carvalho Melo, Telma Woerle de Lima:
Partial Reasoning in Language Models: Search and Refinement Guided by Uncertainty. CoRR abs/2601.12040 (2026) - 2025
- [c6]Bryan Lincoln Marques de Oliveira, Luana Guedes Barros Martins, Bruno Brandão, Murilo Lopes da Luz, Telma Woerle de Lima Soares, Luckeciano Carvalho Melo:
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning. ICML 2025 - [i13]Zihuiwen Ye, Luckeciano Carvalho Melo, Younesse Kaddar, Phil Blunsom, Sam Staton, Yarin Gal:
Uncertainty-Aware Step-wise Verification with Generative Reward Models. CoRR abs/2502.11250 (2025) - [i12]Bryan L. M. de Oliveira, Luana G. B. Martins, Bruno Brandão, Luckeciano C. Melo:
InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden Context. CoRR abs/2502.12257 (2025) - [i11]Luckeciano C. Melo, Alessandro Abate, Yarin Gal:
Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning. CoRR abs/2510.00819 (2025) - [i10]Bryan L. M. de Oliveira, Felipe Vieira Frujeri, Marcos P. C. M. Queiroz, Luana G. B. Martins, Telma W. L. Soares, Luckeciano C. Melo:
Learning Without Critics? Revisiting GRPO in Classical Reinforcement Learning Environments. CoRR abs/2511.03527 (2025) - [i9]Augusto B. Corrêa, Yoav Gelberg, Luckeciano C. Melo, Ilia Shumailov, André Grahl Pereira, Yarin Gal:
Iterative Deployment Improves Planning Skills in LLMs. CoRR abs/2512.24940 (2025) - 2024
- [c5]Luckeciano Carvalho Melo, Panagiotis Tigas, Alessandro Abate, Yarin Gal:
Deep Bayesian Active Learning for Preference Modeling in Large Language Models. NeurIPS 2024 - [i8]Luckeciano C. Melo, Panagiotis Tigas, Alessandro Abate, Yarin Gal:
Deep Bayesian Active Learning for Preference Modeling in Large Language Models. CoRR abs/2406.10023 (2024) - [i7]Luckeciano C. Melo, Alessandro Abate, Yarin Gal:
Temporal-Difference Variational Continual Learning. CoRR abs/2410.07812 (2024) - [i6]Bryan L. M. de Oliveira, Murilo Lopes da Luz, Bruno Brandão, Luana G. B. Martins, Telma Woerle de Lima Soares, Luckeciano C. Melo:
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning. CoRR abs/2410.14038 (2024) - 2022
- [j2]Bruno Brandão
, Telma Woerle de Lima, Anderson Soares, Luckeciano C. Melo, Marcos R. O. A. Máximo:
Multiagent Reinforcement Learning for Strategic Decision Making and Control in Robotic Soccer Through Self-Play. IEEE Access 10: 72628-72642 (2022) - [c4]Luckeciano C. Melo:
Transformers are Meta-Reinforcement Learners. ICML 2022: 15340-15359 - [i5]Luckeciano C. Melo:
Transformers are Meta-Reinforcement Learners. CoRR abs/2206.06614 (2022) - 2021
- [j1]Luckeciano Carvalho Melo, Dicksiano Carvalho Melo, Marcos Ricardo Omena de Albuquerque Máximo:
Learning Humanoid Robot Running Motions with Symmetry Incentive through Proximal Policy Optimization. J. Intell. Robotic Syst. 102(3): 54 (2021) - 2020
- [c3]Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo, Bruno Brandão, Anderson Soares, Renan M. Oliveira, Sandor Caetano:
MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces. ICDM (Workshops) 2020: 189-197 - [c2]Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo, Bruno Brandão, Anderson Soares, Renan M. Oliveira, Sandor Caetano:
Contextual Meta-Bandit for Recommender Systems Selection. RecSys 2020: 444-449 - [i4]Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo, Bruno Brandão, Anderson Soares, Renan M. Oliveira, Sandor Caetano:
MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces. CoRR abs/2010.07035 (2020)
2010 – 2019
- 2019
- [c1]Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo:
Learning Humanoid Robot Running Skills through Proximal Policy Optimization. LARS/SBR/WRE 2019: 37-42 - [i3]Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha:
Learning Humanoid Robot Motions Through Deep Neural Networks. CoRR abs/1901.00270 (2019) - [i2]Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha:
Bottom-Up Meta-Policy Search. CoRR abs/1910.10232 (2019) - [i1]Luckeciano Carvalho Melo, Marcos R. O. A. Máximo:
Learning Humanoid Robot Running Skills through Proximal Policy Optimization. CoRR abs/1910.10620 (2019)
Coauthor Index
aka: Marcos Ricardo Omena Albuquerque Máximo
aka: Marcos R. O. A. Máximo
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