A coordination mechanism for swarm navigation: experiments and analysis. - Leandro Soriano Marcolino; Luiz Chaimowicz (AAMAS (3), 2008)

No robot left behind: Coordination to overcome local minima in swarm navigation. - Leandro Soriano Marcolino; Luiz Chaimowicz (ICRA, 2008)

Experiments in the Coordination of Large Groups of Robots. - Leandro Soriano Marcolino; Luiz Chaimowicz (SBIA, 2008)

Traffic control for a swarm of robots: Avoiding group conflicts. - Leandro Soriano Marcolino; Luiz Chaimowicz (IROS, 2009)

Traffic control for a swarm of robots: Avoiding target congestion. - Leandro Soriano Marcolino; Luiz Chaimowicz (IROS, 2009)

Genome Visualization in Space. - Leandro Soriano Marcolino; Bráulio Roberto Gonçalves Marinho Couto; Marcos Augusto dos Santos (IWPACBB, 2010)

Multi-agent Monte Carlo Go. - Leandro Soriano Marcolino; Hitoshi Matsubara (AAMAS, 2011)

Diversity beats strength?: a hands-on experience with 9x9 go. - Leandro Soriano Marcolino; Douglass Chen; Albert Xin Jiang; Milind Tambe (AAMAS, 2013)

A Detailed Analysis of a Multi-agent Diverse Team. - Leandro Soriano Marcolino; Chao Zhang 049; Albert Xin Jiang; Milind Tambe (COIN@AAMAS/PRIMA, 2013)

Multi-Agent Team Formation: Diversity Beats Strength? - Leandro Soriano Marcolino; Albert Xin Jiang; Milind Tambe (IJCAI, 2013)

Aggregating Opinions to Design Energy-Efficient Buildings. - Leandro Soriano Marcolino; Boian Kolev; Samori Price; Sreerag Palangat Veetil; David Jason Gerber; Josef Musil; Milind Tambe (MPREF@AAAI, 2014)

Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces. - Leandro Soriano Marcolino; Haifeng Xu; Albert Xin Jiang; Milind Tambe; Emma Bowring (AAAI, 2014)

The Power of Teams that Disagree: Team Formation in Large Action Spaces. - Leandro Soriano Marcolino; Haifeng Xu; Albert Xin Jiang; Milind Tambe; Emma Bowring (COIN@AAMAS/PRICAI, 2014)

Diverse Randomized Agents Vote to Win. - Albert Xin Jiang; Leandro Soriano Marcolino; Ariel D. Procaccia; Tuomas Sandholm; Nisarg Shah 001; Milind Tambe (NIPS, 2014)

Multi-Agent Team Formation: Solving Complex Problems by Aggregating Opinions. - Leandro Soriano Marcolino (AAAI, 2015)

Agents Vote for the Environment: Designing Energy-Efficient Architecture. - Leandro Soriano Marcolino; David Jason Gerber; Boian Kolev; Samori Price; Evangelos Pantazis; Ye Tian; Milind Tambe (AAAI Workshop: Computational Sustainability, 2015)

Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version). - Vaishnavh Nagarajan; Leandro Soriano Marcolino; Milind Tambe (AAAI, 2015)

Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork. - Vaishnavh Nagarajan; Leandro Soriano Marcolino; Milind Tambe (AAAI Workshop: Learning for General Competency in Video Games, 2015)

Preventing HIV Spread in Homeless Populations Using PSINET. - Amulya Yadav; Leandro Soriano Marcolino; Eric Rice; Robin Petering; Hailey Winetrobe; Harmony Rhoades; Milind Tambe; Heather Carmichael (AAAI, 2015)

Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration). - Leandro Soriano Marcolino; Vaishnavh Nagarajan; Milind Tambe (AAMAS, 2015)

Three Fundamental Pillars of Multi-agent Team Formation. - Leandro Soriano Marcolino; Milind Tambe (AAMAS, 2015)

Multi-agent Team Formation for Design Problems. - Leandro Soriano Marcolino; Haifeng Xu; David Jason Gerber; Boian Kolev; Samori Price; Evangelos Pantazis; Milind Tambe (COIN@AAMAS/IJCAI, 2015)

Every Team Deserves a Second Chance: Identifying when Things Go Wrong. - Vaishnavh Nagarajan; Leandro Soriano Marcolino; Milind Tambe (AAMAS, 2015)

Design Agency - Prototyping Multi-agent Systems in Architecture. - David Jason Gerber; Evangelos Pantazis; Leandro Soriano Marcolino (CAAD Futures, 2015)

Unleashing the Power of Multi-Agent Voting Teams. - Leandro Soriano Marcolino (IJCAI, 2015)

A multi agent systems for design simulation framework: experiments with virtual physical social feedback for architecture. - David Jason Gerber; Evangelos Pantazis; Leandro Soriano Marcolino; Arsalan Heydarian (SpringSim (SimAUD), 2015)

Simultaneous Influencing and Mapping for Health Interventions. - Leandro Soriano Marcolino; Aravind S. Lakshminarayanan; Amulya Yadav; Milind Tambe (AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI, 2016)

Jikan to Kukan: A Hands-On Musical Experience in AI, Games and Art. - Georgia Rossmann Martins; Mário Escarce Junior; Leandro Soriano Marcolino (AAAI, 2016)

Simultaneous Influencing and Mapping Social Networks: (Extended Abstract). - Leandro Soriano Marcolino; Aravind S. Lakshminarayanan; Amulya Yadav; Milind Tambe (AAMAS, 2016)

PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. - Amulya Yadav; Leandro Soriano Marcolino; Eric Rice; Robin Petering; Hailey Winetrobe; Harmony Rhoades; Milind Tambe; Heather Carmichael (AI Mag., 2016)

Three fundamental pillars of decision-centered teamwork. - Leandro Soriano Marcolino (2016)

Emerging Sounds Through Implicit Cooperation: A Novel Model for Dynamic Music Generation. - Mário Escarce Junior; Georgia Rossmann Martins; Leandro Soriano Marcolino; Yuri Tavares dos Passos (AIIDE, 2017)

Bang: A System for Training and Visualization in Multi-agent Team Formation. - Saulo Antunes Silva; Sandro Renato Dias; Leandro Soriano Marcolino (AAMAS, 2017)

Every team deserves a second chance: an extended study on predicting team performance. - Leandro Soriano Marcolino; Aravind S. Lakshminarayanan; Vaishnavh Nagarajan; Milind Tambe (Auton. Agents Multi Agent Syst., 2017)

Avoiding target congestion on the navigation of robotic swarms. - Leandro Soriano Marcolino; Yuri Tavares dos Passos; Álvaro Antônio Fonseca de Souza; Andersoney dos Santos Rodrigues; Luiz Chaimowicz (Auton. Robots, 2017)

Please be an Influencer?: Contingency-Aware Influence Maximization. - Amulya Yadav; Ritesh Noothigattu; Eric Rice; Laura Onasch-Vera; Leandro Soriano Marcolino; Milind Tambe (AAMAS, 2018)

Towards Large Scale Ad-hoc Teamwork. - Elnaz Shafipour Yourdshahi; Thomas Pinder; Gauri Dhawan; Leandro Soriano Marcolino; Plamen Angelov 001 (ICA, 2018)

Algorithms or Actions? A Study in Large-Scale Reinforcement Learning. - Anderson Rocha Tavares; Sivasubramanian Anbalagan; Leandro Soriano Marcolino; Luiz Chaimowicz (IJCAI, 2018)

Towards Evolving Cooperative Mapping for Large-Scale UAV Teams. - Elnaz Shafipour Yourdshahi; Plamen Angelov 001; Leandro Soriano Marcolino; Georgios Tsianakas (SSCI, 2018)

Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach. - Lukasz Pelcner; Shaling Li; Matheus Aparecido do Carmo Alves; Leandro Soriano Marcolino; Alex Collins (AAMAS, 2020)

On-line Estimators for Ad-hoc Task Allocation. - Elnaz Shafipour Yourdshahi; Matheus Aparecido do Carmo Alves; Leandro Soriano Marcolino; Plamen Angelov 001 (AAMAS, 2020)

Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data. - Washington L. S. Ramos; Michel Melo Silva; Edson R. Araujo; Leandro Soriano Marcolino; Erickson Rangel do Nascimento (CVPR, 2020)

The paradox of productivity during quarantine: an agent-based simulation. - Peter Hardy; Leandro Soriano Marcolino; José F. Fontanari (CoRR, 2020)

Special issue of Teams in Multiagent Systems (TEAMAS): Preface. - Ewa Andrejczuk; Juan M. Alberola; Leandro Soriano Marcolino; Paolo Torroni (Fundam. Informaticae, 2020)

Sparse Adversarial Video Attacks with Spatial Transformations. - Ronghui Mu; Wenjie Ruan; Leandro Soriano Marcolino; Qiang Ni (BMVC, 2021)

A Meta-interactive Compositional Approach that Fosters Musical Emergence through Ludic Expressivity. - Mário Escarce Junior; Georgia Rossmann Martins; Leandro Soriano Marcolino; Elisa Rubegni (Proc. ACM Hum. Comput. Interact., 2021)

AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning. - Matheus Aparecido do Carmo Alves; Amokh Varma; Yehia Elkhatib; Leandro Soriano Marcolino (AAMAS, 2022)

Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach. - Abdulrahman Kerim; Felipe C. Chamone; Washington L. S. Ramos; Leandro Soriano Marcolino; Erickson R. Nascimento; Richard Jiang 001 (BMVC, 2022)

On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. - Elnaz Shafipour Yourdshahi; Matheus Aparecido do Carmo Alves; Amokh Varma; Leandro Soriano Marcolino; Jó Ueyama; Plamen Angelov 001 (Auton. Agents Multi Agent Syst., 2022)

On the throughput of the common target area for robotic swarm strategies - extended version. - Yuri Tavares dos Passos; Xavier Duquesne; Leandro Soriano Marcolino (CoRR, 2022)

Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. - Ronghui Mu; Wenjie Ruan; Leandro Soriano Marcolino; Gaojie Jin; Qiang Ni (AAAI, 2023)

Robust Federated Learning Method Against Data and Model Poisoning Attacks with Heterogeneous Data Distribution. - Ebtisaam Alharbi; Leandro Soriano Marcolino; Antonios Gouglidis; Qiang Ni (ECAI, 2023)

Information-guided Planning: An Online Approach for Partially Observable Problems. - Matheus Aparecido do Carmo Alves; Amokh Varma; Yehia Elkhatib; Leandro Soriano Marcolino (NeurIPS, 2023)

Scale-Invariant Reinforcement Learning in Real-Time Strategy Games. - Marcelo Luiz Harry Diniz Lemos; Ronaldo E Silva Vieira; Anderson Rocha Tavares; Leandro Soriano Marcolino; Luiz Chaimowicz (SBGames, 2023)

The Aesthetics of Disharmony: Harnessing Sounds and Images for Dynamic Soundscapes Generation. - Mário Escarce Junior; Georgia Rossmann Martins; Leandro Soriano Marcolino; Elisa Rubegni (Proc. ACM Hum. Comput. Interact., 2023)

Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method. - Washington L. S. Ramos; Michel Melo Silva; Edson R. Araujo; Victor Moura; Keller Oliveira; Leandro Soriano Marcolino; Erickson R. Nascimento (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area. - Yuri Tavares dos Passos; Xavier Duquesne; Leandro Soriano Marcolino (Robotics Auton. Syst., 2023)

Reward Certification for Policy Smoothed Reinforcement Learning. - Ronghui Mu; Leandro Soriano Marcolino; Yanghao Zhang; Tianle Zhang; Xiaowei Huang 001; Wenjie Ruan (AAAI, 2024)

It Is Among Us: Identifying Adversaries in Ad-hoc Domains using Q-valued Bayesian Estimations. - Matheus Aparecido do Carmo Alves; Amokh Varma; Yehia Elkhatib; Leandro Soriano Marcolino (AAMAS, 2024)

Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments. - Lukasz Pelcner; Matheus Aparecido do Carmo Alves; Leandro Soriano Marcolino; Paula A. Harrison; Peter M. Atkinson (AAMAS, 2024)

An Online Incremental Learning Approach for Configuring Multi-arm Bandits Algorithms. - Mohammad Essa Alsomali; Roberto Rodrigues Filho; Leandro Soriano Marcolino; Barry Porter (ECAI, 2024)

Multi-armed Bandits for Self-distributing Stateful Services across Networking Infrastructures. - Frederico Meletti Rappa; Roberto Rodrigues Filho; Alison R. Panisson; Leandro Soriano Marcolino; Luiz F. Bittencourt (NOMS, 2024)

Incentive-Driven Multi-agent Reinforcement Learning Approach for Commons Dilemmas in Land-Use. - Lukasz Pelcner; Matheus Aparecido do Carmo Alves; Leandro Soriano Marcolino; Paula A. Harrison; Peter M. Atkinson (PRIMA, 2024)

Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions. - Abdulrahman Kerim; Washington L. S. Ramos; Leandro Soriano Marcolino; Erickson R. Nascimento; Richard Jiang 001 (WACV, 2024)

Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data. - Abdulrahman Kerim; Leandro Soriano Marcolino; Erickson R. Nascimento; Richard Jiang 001 (CoRR, 2024)

Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond. - Ronghui Mu; Leandro Soriano Marcolino; Qiang Ni; Wenjie Ruan (Neural Networks, 2024)

Water level identification with laser sensors, inertial units, and machine learning. - Caetano Mazzoni Ranieri; Angelo V. K. Foletto; Rodrigo Dutra Garcia; Saulo N. Matos; Maria M. G. Medina; Leandro Soriano Marcolino; Jó Ueyama (Eng. Appl. Artif. Intell., 2024)

3DVerifier: efficient robustness verification for 3D point cloud models. - Ronghui Mu; Wenjie Ruan; Leandro Soriano Marcolino; Qiang Ni (Mach. Learn., 2024)

Uncertainty Quantification in Measuring Ore Mass Flow Rate with Data-Driven Soft Sensors. - Francisco José Dos Santos Diniz; Saulo N. Matos; Jó Ueyama; Leandro Soriano Marcolino; Eduardo José da Silva Luz; Gustavo Pessin (I2MTC, 2025)

Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit Framework. - Mohammad Essa Alsomali; Leandro Soriano Marcolino; Barry Porter; Roberto Rodrigues Filho (AAMAS, 2025)

Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks. - Ebtisaam Alharbi; Leandro Soriano Marcolino; Qiang Ni; Antonios Gouglidis (SaTML, 2025)

Enhancing deep reinforcement learning for scale flexibility in real-time strategy games. - Marcelo Luiz Harry Diniz Lemos; Ronaldo E Silva Vieira; Anderson Rocha Tavares; Leandro Soriano Marcolino; Luiz Chaimowicz (Entertain. Comput., 2025)