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Leandro Soriano Marcolino
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2020 – today
- 2025
- [j13]Marcelo Luiz Harry Diniz Lemos
, Ronaldo E Silva Vieira
Enhancing deep reinforcement learning for scale flexibility in real-time strategy games. Entertain. Comput. 52: 100843 (2025) - 2024
- [j12]Caetano Mazzoni Ranieri
Water level identification with laser sensors, inertial units, and machine learning. Eng. Appl. Artif. Intell. 127(Part A): 107235 (2024) - [j11]Ronghui Mu, Wenjie Ruan
3DVerifier: efficient robustness verification for 3D point cloud models. Mach. Learn. 113(4): 1771-1798 (2024) - [j10]Ronghui Mu, Leandro Soriano Marcolino
Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond. Neural Networks 171: 127-143 (2024) - [c53]Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan:
Reward Certification for Policy Smoothed Reinforcement Learning. AAAI 2024: 21429-21437 - [c52]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: 472-480 - [c51]Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula A. Harrison, Peter M. Atkinson:
Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments. AAMAS 2024: 2414-2416 - [c50]Mohammad Essa Alsomali, Roberto Rodrigues Filho, Leandro Soriano Marcolino, Barry Porter:
An Online Incremental Learning Approach for Configuring Multi-arm Bandits Algorithms. ECAI 2024: 2765-2772 - [c49]Frederico Meletti Rappa, Roberto Rodrigues Filho
Multi-armed Bandits for Self-distributing Stateful Services across Networking Infrastructures. NOMS 2024: 1-6 - [c48]Lukasz Pelcner, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Paula A. Harrison, Peter M. Atkinson:
Incentive-Driven Multi-agent Reinforcement Learning Approach for Commons Dilemmas in Land-Use. PRIMA 2024: 284-289 - [c47]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: 6916-6925 - 2023
- [j9]Mário Escarce Junior
The Aesthetics of Disharmony: Harnessing Sounds and Images for Dynamic Soundscapes Generation. Proc. ACM Hum. Comput. Interact. 7(CHI PLAY): 665-698 (2023) - [j8]Washington L. S. Ramos
Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2492-2504 (2023) - [j7]Yuri Tavares dos Passos
Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area. Robotics Auton. Syst. 159: 104284 (2023) - [c46]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. AAAI 2023: 15046-15054 - [c45]Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, 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. AAMAS 2023: 140-142 - [c44]Ebtisaam Alharbi
Robust Federated Learning Method Against Data and Model Poisoning Attacks with Heterogeneous Data Distribution. ECAI 2023: 85-92 - [c43]Matheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino:
Information-guided Planning: An Online Approach for Partially Observable Problems. NeurIPS 2023 - [c42]Marcelo Luiz Harry Diniz Lemos
Scale-Invariant Reinforcement Learning in Real-Time Strategy Games. SBGames 2023: 11-19 - [i11]Ronghui Mu, Leandro Soriano Marcolino, Tianle Zhang, Yanghao Zhang, Xiaowei Huang, Wenjie Ruan:
Reward Certification for Policy Smoothed Reinforcement Learning. CoRR abs/2312.06436 (2023) - 2022
- [j6]Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves
On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. Auton. Agents Multi Agent Syst. 36(2): 45 (2022) - [c41]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: 1893-1895 - [c40]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: 977 - [i10]Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino:
On the throughput of the common target area for robotic swarm strategies - extended version. CoRR abs/2201.09335 (2022) - [i9]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 abs/2201.09337 (2022) - [i8]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 abs/2203.15778 (2022) - [i7]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni:
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models. CoRR abs/2207.07539 (2022) - [i6]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 abs/2208.12763 (2022) - [i5]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 abs/2210.05626 (2022) - [i4]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2212.11746 (2022) - 2021
- [j5]Mário Escarce Junior
A Meta-interactive Compositional Approach that Fosters Musical Emergence through Ludic Expressivity. Proc. ACM Hum. Comput. Interact. 5(CHI PLAY): 262:1-262:32 (2021) - [c39]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni:
Sparse Adversarial Video Attacks with Spatial Transformations. BMVC 2021: 101 - [i3]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni:
Sparse Adversarial Video Attacks with Spatial Transformations. CoRR abs/2111.05468 (2021) - 2020
- [j4]Ewa Andrejczuk, Juan M. Alberola, Leandro Soriano Marcolino
Special issue of Teams in Multiagent Systems (TEAMAS): Preface. Fundam. Informaticae 174(1): 61-62 (2020) - [c38]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: 1019-1027 - [c37]Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Plamen Angelov:
On-line Estimators for Ad-hoc Task Allocation. AAMAS 2020: 1999-2001 - [c36]Washington L. S. Ramos, Michel Melo Silva
Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data. CVPR 2020: 10928-10937 - [i2]Washington L. S. Ramos
Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data. CoRR abs/2003.14229 (2020) - [i1]Peter Hardy, Leandro Soriano Marcolino, José F. Fontanari:
The paradox of productivity during quarantine: an agent-based simulation. CoRR abs/2008.09461 (2020)
2010 – 2019
- 2018
- [c35]Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe:
Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS 2018: 1423-1431 - [c34]Elnaz Shafipour Yourdshahi, Thomas Pinder, Gauri Dhawan, Leandro Soriano Marcolino
Towards Large Scale Ad-hoc Teamwork. ICA 2018: 44-49 - [c33]Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino
Algorithms or Actions? A Study in Large-Scale Reinforcement Learning. IJCAI 2018: 2717-2723 - [c32]Elnaz Shafipour Yourdshahi, Plamen Angelov
Towards Evolving Cooperative Mapping for Large-Scale UAV Teams. SSCI 2018: 2262-2269 - 2017
- [j3]Leandro Soriano Marcolino
Every team deserves a second chance: an extended study on predicting team performance. Auton. Agents Multi Agent Syst. 31(5): 1003-1054 (2017) - [j2]Leandro Soriano Marcolino
Avoiding target congestion on the navigation of robotic swarms. Auton. Robots 41(6): 1297-1320 (2017) - [c31]Mário Escarce Junior, Georgia Rossmann Martins
Emerging Sounds Through Implicit Cooperation: A Novel Model for Dynamic Music Generation. AIIDE 2017: 186-192 - [c30]Saulo Antunes Silva, Sandro Renato Dias, Leandro Soriano Marcolino:
Bang: A System for Training and Visualization in Multi-agent Team Formation. AAMAS 2017: 1781-1783 - 2016
- [b1]Leandro Soriano Marcolino:
Three fundamental pillars of decision-centered teamwork. Lancaster University, UK, 2016 - [j1]Amulya Yadav, Leandro Soriano Marcolino
PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Mag. 37(2): 47-62 (2016) - [c29]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 - [c28]Georgia Rossmann Martins, Mário Escarce Junior, Leandro Soriano Marcolino:
Jikan to Kukan: A Hands-On Musical Experience in AI, Games and Art. AAAI 2016: 4377-4378 - [c27]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe:
Simultaneous Influencing and Mapping Social Networks: (Extended Abstract). AAMAS 2016: 1439-1440 - 2015
- [c26]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 - [c25]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: 4006-4011 - [c24]Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe:
Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version). AAAI 2015: 4184-4185 - [c23]Leandro Soriano Marcolino:
Multi-Agent Team Formation: Solving Complex Problems by Aggregating Opinions. AAAI 2015: 4257-4258 - [c22]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 - [c21]Leandro Soriano Marcolino
Multi-agent Team Formation for Design Problems. COIN@AAMAS/IJCAI 2015: 354-375 - [c20]Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe:
Every Team Deserves a Second Chance: Identifying when Things Go Wrong. AAMAS 2015: 695-703 - [c19]Leandro Soriano Marcolino, Vaishnavh Nagarajan, Milind Tambe:
Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration). AAMAS 2015: 1909-1910 - [c18]Leandro Soriano Marcolino, Milind Tambe:
Three Fundamental Pillars of Multi-agent Team Formation. AAMAS 2015: 1967-1968 - [c17]David Jason Gerber, Evangelos Pantazis, Leandro Soriano Marcolino
Design Agency - Prototyping Multi-agent Systems in Architecture. CAAD Futures 2015: 213-235 - [c16]Leandro Soriano Marcolino:
Unleashing the Power of Multi-Agent Voting Teams. IJCAI 2015: 4399-4400 - [c15]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: 205-212 - 2014
- [c14]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 - [c13]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: 1485-1491 - [c12]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: 213-232 - [c11]Albert Xin Jiang, Leandro Soriano Marcolino, Ariel D. Procaccia, Tuomas Sandholm, Nisarg Shah, Milind Tambe:
Diverse Randomized Agents Vote to Win. NIPS 2014: 2573-2581 - 2013
- [c10]Leandro Soriano Marcolino
A Detailed Analysis of a Multi-agent Diverse Team. COIN@AAMAS/PRIMA 2013: 3-24 - [c9]Leandro Soriano Marcolino, Douglass Chen, Albert Xin Jiang, Milind Tambe:
Diversity beats strength?: a hands-on experience with 9x9 go. AAMAS 2013: 1385-1386 - [c8]Leandro Soriano Marcolino, Albert Xin Jiang, Milind Tambe:
Multi-Agent Team Formation: Diversity Beats Strength? IJCAI 2013: 279-285 - 2011
- [c7]Leandro Soriano Marcolino, Hitoshi Matsubara:
Multi-agent Monte Carlo Go. AAMAS 2011: 21-28 - 2010
- [c6]Leandro Soriano Marcolino
Genome Visualization in Space. IWPACBB 2010: 225-232
2000 – 2009
- 2009
- [c5]Leandro Soriano Marcolino
Traffic control for a swarm of robots: Avoiding group conflicts. IROS 2009: 1949-1954 - [c4]Leandro Soriano Marcolino
Traffic control for a swarm of robots: Avoiding target congestion. IROS 2009: 1955-1961 - 2008
- [c3]Leandro Soriano Marcolino, Luiz Chaimowicz:
A coordination mechanism for swarm navigation: experiments and analysis. AAMAS (3) 2008: 1203-1206 - [c2]Leandro Soriano Marcolino
No robot left behind: Coordination to overcome local minima in swarm navigation. ICRA 2008: 1904-1909 - [c1]Leandro Soriano Marcolino, Luiz Chaimowicz:
Experiments in the Coordination of Large Groups of Robots. SBIA 2008: 268-277
Coauthor Index
Erickson R. Nascimento
aka: Erickson Rangel do Nascimento
aka: Erickson Rangel do Nascimento
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last updated on 2024-12-03 20:27 CET by the dblp team
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