8 citations · 14 across the 3 of their papers we have counts for
4 papers
MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces
Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo +4
Recommender Systems are especially challenging for marketplaces since they must maximize user satisfaction while maintaining the healthiness and fairness of such ecosystems. In thi…
Learning Humanoid Robot Running Skills through Proximal Policy Optimization
Luckeciano C. Melo, Marcos R. O. A. Maximo
In the current level of evolution of Soccer 3D, motion control is a key factor in team's performance. Recent works takes advantages of model-free approaches based on Machine Learni…
Bottom-Up Meta-Policy Search
Luckeciano C. Melo, Marcos R. O. A. Maximo, Adilson Marques da Cunha
Despite of the recent progress in agents that learn through interaction, there are several challenges in terms of sample efficiency and generalization across unseen behaviors durin…
Learning Humanoid Robot Motions Through Deep Neural Networks
Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Maximo, Adilson Marques da Cunha
Controlling a high degrees of freedom humanoid robot is acknowledged as one of the hardest problems in Robotics. Due to the lack of mathematical models, an approach frequently empl…