Marcos Ricardo Omena Albuquerque Máximo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 11

Top Topics

Reinforcement Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Joao P. A. Dantas, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama
Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. CoRR (2024)
Rafael Figueiredo Prudencio, Marcos Ricardo Omena Albuquerque Máximo, Esther Luna Colombini
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Henrique Mohallem Paiva, Priscila Falcão dos Santos, Marcos Ricardo Omena Albuquerque Máximo, Lucas Niemeyer
Efficient Lecturer Peer-Assessment Attribution Using Graph Theory and a Novel Greedy Algorithm. IEEE Access 12 (2024)
Joao P. A. Dantas, Diego Geraldo, Andre N. Costa, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama
ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force. CoRR (2023)
Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. BRACIS (2) (2021)
Dicksiano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha
Push Recovery Strategies through Deep Reinforcement Learning. LARS/SBR/WRE (2020)
Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha
Learning Humanoid Robot Motions Through Deep Neural Networks. CoRR (2019)
Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo
Learning Humanoid Robot Running Skills through Proximal Policy Optimization. LARS/SBR/WRE (2019)
Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha
Bottom-Up Meta-Policy Search. CoRR (2019)
Francisco Muniz, Marcos Ricardo Omena Albuquerque Máximo, Carlos H. C. Ribeiro
Keyframe Movement Optimization for Simulated Humanoid Robot Using a Parallel Optimization Framework. LARS/SBR (2016)
Alexandre F. V. Muzio, Luis Aguiar, Marcos Ricardo Omena Albuquerque Máximo, Samuel C. Pinto
Monte Carlo Localization with Field Lines Observations for Simulated Humanoid Robotic Soccer. LARS/SBR (2016)