Leandro Soriano Marcolino

ORCID

Publication Activity (10 Years)

Years Active: 2008-2025
Publications (10 Years): 49

Top Venues

Lancaster University, UK (PHD)

Education History

Lancaster University, UK

PHD

Publications

Marcelo Luiz Harry Diniz Lemos, Ronaldo E Silva Vieira, Anderson Rocha Tavares, Leandro Soriano Marcolino, Luiz Chaimowicz
Enhancing deep reinforcement learning for scale flexibility in real-time strategy games. Entertain. Comput. 52 (2025)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
3DVerifier: efficient robustness verification for 3D point cloud models. Mach. Learn. 113 (4) (2024)
Caetano Mazzoni Ranieri, Angelo V. K. Foletto, Rodrigo Dutra Garcia, Saulo N. Matos, Maria M. G. Medina, Leandro Soriano Marcolino, Jó Ueyama
Water level identification with laser sensors, inertial units, and machine learning. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan
Reward Certification for Policy Smoothed Reinforcement Learning. AAAI (2024)
Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino
It Is Among Us: Identifying Adversaries in Ad-hoc Domains using Q-valued Bayesian Estimations. AAMAS (2024)
Ronghui Mu, Leandro Soriano Marcolino, Qiang Ni, Wenjie Ruan
Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond. Neural Networks 171 (2024)
Abdulrahman Kerim, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang
Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions. WACV (2024)
Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula Harrison, Peter Atkinson
Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments. AAMAS (2024)
Frederico Meletti Rappa, Roberto Rodrigues Filho, Alison R. Panisson, Leandro Soriano Marcolino, Luiz F. Bittencourt
Multi-armed Bandits for Self-distributing Stateful Services across Networking Infrastructures. NOMS (2024)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. AAAI (2023)
Marcelo Luiz Harry Diniz Lemos, Ronaldo E Silva Vieira, Anderson Rocha Tavares, Leandro Soriano Marcolino, Luiz Chaimowicz
Scale-Invariant Reinforcement Learning in Real-Time Strategy Games. SBGames (2023)
Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen P. Angelov
On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork. AAMAS (2023)
Ronghui Mu, Leandro Soriano Marcolino, Tianle Zhang, Yanghao Zhang, Xiaowei Huang, Wenjie Ruan
Reward Certification for Policy Smoothed Reinforcement Learning. CoRR (2023)
Mário Escarce Junior, Georgia Rossmann Martins, Leandro Soriano Marcolino, Elisa Rubegni
The Aesthetics of Disharmony: Harnessing Sounds and Images for Dynamic Soundscapes Generation. Proc. ACM Hum. Comput. Interact. 7 (CHI) (2023)
Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Victor Moura, Keller Oliveira, Leandro Soriano Marcolino, Erickson R. Nascimento
Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino
Information-guided Planning: An Online Approach for Partially Observable Problems. NeurIPS (2023)
Ebtisaam Alharbi, Leandro Soriano Marcolino, Antonios Gouglidis, Qiang Ni
Robust Federated Learning Method Against Data and Model Poisoning Attacks with Heterogeneous Data Distribution. ECAI (2023)
Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino
Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area. Robotics Auton. Syst. 159 (2023)
Abdulrahman Kerim, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang
Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions. CoRR (2022)
Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Victor Moura, Keller Oliveira, Leandro Soriano Marcolino, Erickson R. Nascimento
Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method. CoRR (2022)
Abdulrahman Kerim, Felipe C. Chamone, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach. CoRR (2022)
Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino
Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area. CoRR (2022)
Abdulrahman Kerim, Felipe C. Chamone, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach. BMVC (2022)
Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino
On the throughput of the common target area for robotic swarm strategies - extended version. CoRR (2022)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. CoRR (2022)
Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov
On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. Auton. Agents Multi Agent Syst. 36 (2) (2022)
Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino
AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning. AAMAS (2022)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models. CoRR (2022)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
Sparse Adversarial Video Attacks with Spatial Transformations. CoRR (2021)
Mário Escarce Junior, Georgia Rossmann Martins, Leandro Soriano Marcolino, Elisa Rubegni
A Meta-interactive Compositional Approach that Fosters Musical Emergence through Ludic Expressivity. Proc. ACM Hum. Comput. Interact. 5 (CHI) (2021)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
Sparse Adversarial Video Attacks with Spatial Transformations. BMVC (2021)
Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Leandro Soriano Marcolino, Erickson Rangel do Nascimento
Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data. CoRR (2020)
Lukasz Pelcner, Shaling Li, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Alex Collins
Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach. AAMAS (2020)
Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Leandro Soriano Marcolino, Erickson Rangel do Nascimento
Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data. CVPR (2020)
Ewa Andrejczuk, Juan M. Alberola, Leandro Soriano Marcolino, Paolo Torroni
Special issue of Teams in Multiagent Systems (TEAMAS): Preface. Fundam. Informaticae 174 (1) (2020)
Peter Hardy, Leandro Soriano Marcolino, José F. Fontanari
The paradox of productivity during quarantine: an agent-based simulation. CoRR (2020)
Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Plamen Angelov
On-line Estimators for Ad-hoc Task Allocation. AAMAS (2020)
Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe
Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS (2018)
Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino, Luiz Chaimowicz
Algorithms or Actions? A Study in Large-Scale Reinforcement Learning. IJCAI (2018)
Elnaz Shafipour Yourdshahi, Plamen Angelov, Leandro Soriano Marcolino, Georgios Tsianakas
Towards Evolving Cooperative Mapping for Large-Scale UAV Teams. SSCI (2018)
Elnaz Shafipour Yourdshahi, Thomas Pinder, Gauri Dhawan, Leandro Soriano Marcolino, Plamen P. Angelov
Towards Large Scale Ad-hoc Teamwork. ICA (2018)
Leandro Soriano Marcolino, Yuri Tavares dos Passos, Álvaro Antônio Fonseca de Souza, Andersoney dos Santos Rodrigues, Luiz Chaimowicz
Avoiding target congestion on the navigation of robotic swarms. Auton. Robots 41 (6) (2017)
Saulo Antunes Silva, Sandro Renato Dias, Leandro Soriano Marcolino
Bang: A System for Training and Visualization in Multi-agent Team Formation. AAMAS (2017)
Mário Escarce Junior, Georgia Rossmann Martins, Leandro Soriano Marcolino, Yuri Tavares dos Passos
Emerging Sounds Through Implicit Cooperation: A Novel Model for Dynamic Music Generation. AIIDE (2017)
Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Vaishnavh Nagarajan, Milind Tambe
Every team deserves a second chance: an extended study on predicting team performance. Auton. Agents Multi Agent Syst. 31 (5) (2017)
Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe
Simultaneous Influencing and Mapping Social Networks: (Extended Abstract). AAMAS (2016)
Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael
PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Mag. 37 (2) (2016)
Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe
Simultaneous Influencing and Mapping for Health Interventions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI (2016)
Georgia Rossmann Martins, Mário Escarce Junior, Leandro Soriano Marcolino
Jikan to Kukan: A Hands-On Musical Experience in AI, Games and Art. AAAI (2016)
Leandro Soriano Marcolino, Vaishnavh Nagarajan, Milind Tambe
Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration). AAMAS (2015)
Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe
Every Team Deserves a Second Chance: Identifying when Things Go Wrong. AAMAS (2015)
Leandro Soriano Marcolino
Unleashing the Power of Multi-Agent Voting Teams. IJCAI (2015)
Leandro Soriano Marcolino, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Ye Tian, Milind Tambe
Agents Vote for the Environment: Designing Energy-Efficient Architecture. AAAI Workshop: Computational Sustainability (2015)
Leandro Soriano Marcolino, Haifeng Xu, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Milind Tambe
Multi-agent Team Formation for Design Problems. COIN@AAMAS/IJCAI (2015)
Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael
Preventing HIV Spread in Homeless Populations Using PSINET. AAAI (2015)
Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe
Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork. AAAI Workshop: Learning for General Competency in Video Games (2015)
Leandro Soriano Marcolino
Multi-Agent Team Formation: Solving Complex Problems by Aggregating Opinions. AAAI (2015)
David Jason Gerber, Evangelos Pantazis, Leandro Soriano Marcolino, Arsalan Heydarian
A multi agent systems for design simulation framework: experiments with virtual physical social feedback for architecture. SpringSim (SimAUD) (2015)
Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe
Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version). AAAI (2015)
David Jason Gerber, Evangelos Pantazis, Leandro Soriano Marcolino
Design Agency - Prototyping Multi-agent Systems in Architecture. CAAD Futures (2015)
Leandro Soriano Marcolino, Milind Tambe
Three Fundamental Pillars of Multi-agent Team Formation. AAMAS (2015)
Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring
The Power of Teams that Disagree: Team Formation in Large Action Spaces. COIN@AAMAS/PRICAI (2014)
Albert Xin Jiang, Leandro Soriano Marcolino, Ariel D. Procaccia, Tuomas Sandholm, Nisarg Shah, Milind Tambe
Diverse Randomized Agents Vote to Win. NIPS (2014)
Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring
Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces. AAAI (2014)
Leandro Soriano Marcolino, Boian Kolev, Samori Price, Sreerag Palangat Veetil, David Jason Gerber, Josef Musil, Milind Tambe
Aggregating Opinions to Design Energy-Efficient Buildings. MPREF@AAAI (2014)
Leandro Soriano Marcolino, Douglass Chen, Albert Xin Jiang, Milind Tambe
Diversity beats strength?: a hands-on experience with 9x9 go. AAMAS (2013)
Leandro Soriano Marcolino, Chao Zhang, Albert Xin Jiang, Milind Tambe
A Detailed Analysis of a Multi-agent Diverse Team. COIN@AAMAS/PRIMA (2013)
Leandro Soriano Marcolino, Albert Xin Jiang, Milind Tambe
Multi-Agent Team Formation: Diversity Beats Strength? IJCAI (2013)
Leandro Soriano Marcolino, Hitoshi Matsubara
Multi-agent Monte Carlo Go. AAMAS (2011)
Leandro Soriano Marcolino, Bráulio Roberto Gonçalves Marinho Couto, Marcos Augusto dos Santos
Genome Visualization in Space. IWPACBB (2010)
Leandro Soriano Marcolino, Luiz Chaimowicz
Traffic control for a swarm of robots: Avoiding target congestion. IROS (2009)
Leandro Soriano Marcolino, Luiz Chaimowicz
Traffic control for a swarm of robots: Avoiding group conflicts. IROS (2009)
Leandro Soriano Marcolino, Luiz Chaimowicz
Experiments in the Coordination of Large Groups of Robots. SBIA (2008)
Leandro Soriano Marcolino, Luiz Chaimowicz
A coordination mechanism for swarm navigation: experiments and analysis. AAMAS (3) (2008)
Leandro Soriano Marcolino, Luiz Chaimowicz
No robot left behind: Coordination to overcome local minima in swarm navigation. ICRA (2008)

Leandro Soriano Marcolino

Publication Activity (10 Years)

Top Topics

Top Venues