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Luckeciano C. Melo

Observed names: Luckeciano Carvalho Melo, Luckeciano Melo, Melo, Luckeciano, Melo, Luckeciano C., Melo, Luckeciano Carvalho
ORCID: 0000-0003-2599-6265
Observed ORCID: 0000-0003-2599-6265
OpenAlex ID: A5064656646
Housing Prices Prediction with a Deep Learning and Random Forest Ensemble
2019 · Bruno Afonso, Luckeciano Melo, et al. · 55
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Learning Humanoid Robot Running Skills through Proximal Policy Optimization
2019 · Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Maximo · Latin American Robotics Symposium, Brazilian Symposium on Robotics and Workshop on Robotics in Education (LARS/SBR/WRE) · 38
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Learning Humanoid Robot Running Motions with Symmetry Incentive through Proximal Policy Optimization
2021 · Luckeciano C. Melo, Dicksiano C. Melo, et al. · Journal of Intelligent & Robotic Systems · 30
Uncertainty-Aware Step-wise Verification with Generative Reward Models
2025 · Ye, Zihuiwen, Melo, Luckeciano Carvalho, et al. · arXiv (Cornell University) · 23
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Multiagent Reinforcement Learning for Strategic Decision Making and Control in Robotic Soccer Through Self-Play
2022 · Bruno Brandao, Telma Woerle De Lima, et al. · IEEE Access · 22
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Transformers are Meta-Reinforcement Learners
2022 · Melo, Luckeciano C. · arXiv (Cornell University) · 19
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MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces
2020 · Marlesson R. O. Santana, Luckeciano C. Melo, et al. · IEEE ... International Conference on Data Mining workshops · 16
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Contextual Meta-Bandit for Recommender Systems Selection
2020 · Marlesson R. O. Santana, Luckeciano C. Melo, et al. · ACM Conference on Recommender Systems (RecSys) · 12
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
2024 · Luckeciano Melo, Panagiotis Tigas, et al. · neural information processing systems · 10
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Learning Humanoid Robot Motions Through Deep Neural Networks
2019 · Melo, Luckeciano Carvalho, Maximo, Marcos Ricardo Omena Albuquerque, et al. · arXiv (Cornell University) · 7
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InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden Context
2025 · de Oliveira, Bryan L. M., Martins, Luana G. B., et al. · arXiv (Cornell University) · 6
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Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
2024 · de Oliveira, Bryan L. M., Martins, Luana G. B., et al. · arXiv (Cornell University) · 6
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Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning
2025 · Melo, Luckeciano C., Abate, Alessandro, et al. · arXiv (Cornell University) · 5
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Learning Without Critics? Revisiting GRPO in Classical Reinforcement Learning Environments
2025 · de Oliveira, Bryan L. M., Frujeri, Felipe V., et al. · arXiv (Cornell University) · 4
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Bottom-Up Meta-Policy Search
2019 · Melo, Luckeciano C., Maximo, Marcos R. O. A., et al. · arXiv (Cornell University) · 4
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Amortising Bayesian Experimental Design for Sequential Information Gathering in LLMs
2026 · Hartmann, Jakob, Harvey, James, et al. · arXiv (Cornell University) · 2
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Temporal-Difference Variational Continual Learning
2025 · Luckeciano Carvalho Melo, Alessandro Abate, et al. · neural information processing systems · 1
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From Prompts to Posteriors: Can LLM Agents Perform Bayesian Inference in Context?
2026 · Filbry, Linus, Melo, Luckeciano C., et al. · arXiv (Cornell University)
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Partial Reasoning in Language Models: Search and Refinement Guided by Uncertainty
2026 · da Luz, Murilo, Brandão, Bruno, et al. · arXiv (Cornell University)
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Iterative Deployment Improves Planning Skills in LLMs
2025 · Corrêa, Augusto B., Gelberg, Yoav, et al. · arXiv (Cornell University)
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Residual Reinforcement Learning to Generate a Closed-Loop Policy from a Keyframe Kick Motion
2025 · Marcos Vinícius S. Passamani, Marcos R. O. A. Maximo, et al. · Brazilian Symposium on Robotics and Workshop on Robotics in Education (SBR/WRE)
Works count: 21
Citation count: 260
H-index: 9
I10-index: 9
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