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João V. Messias
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2020 – today
- 2024
- [c15]Reza Mahjourian, Rongbing Mu, Valerii Likhosherstov, Paul Mougin, Xiukun Huang, João V. Messias, Shimon Whiteson:
UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios. ICRA 2024: 16367-16373 - [i3]Reza Mahjourian, Rongbing Mu, Valerii Likhosherstov, Paul Mougin, Xiukun Huang, João V. Messias, Shimon Whiteson:
UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios. CoRR abs/2405.03807 (2024) - 2022
- [c14]Angad Singh, Omar Makhlouf, Maximilian Igl, João V. Messias, Arnaud Doucet, Shimon Whiteson:
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. CoRL 2022: 1168-1177 - [i2]Angad Singh, Omar Makhlouf, Maximilian Igl, João V. Messias, Arnaud Doucet, Shimon Whiteson:
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. CoRR abs/2212.06968 (2022) - 2020
- [j3]José J. Acevedo
, João V. Messias
A Dynamic Weighted Area Assignment Based on a Particle Filter for Active Cooperative Perception. IEEE Robotics Autom. Lett. 5(2): 736-743 (2020)
2010 – 2019
- 2019
- [c13]Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek
Learning From Demonstration in the Wild. ICRA 2019: 775-781 - 2018
- [i1]Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson:
Learning from Demonstration in the Wild. CoRR abs/1811.03516 (2018) - 2017
- [j2]Frans A. Oliehoek, Matthijs T. J. Spaan, Bas Terwijn, Philipp Robbel, João V. Messias:
The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems. J. Mach. Learn. Res. 18: 89:1-89:5 (2017) - [j1]Stefan J. Witwicki, José Carlos Castillo
Autonomous Surveillance Robots: A Decision-Making Framework for Networked Muiltiagent Systems. IEEE Robotics Autom. Mag. 24(3): 52-64 (2017) - [c12]Kyriacos Shiarlis, João V. Messias, Shimon Whiteson:
Rapidly exploring learning trees. ICRA 2017: 1541-1548 - [c11]Kyriacos Shiarlis, João V. Messias, Shimon Whiteson:
Acquiring social interaction behaviours for telepresence robots via deep learning from demonstration. IROS 2017: 37-42 - [c10]João V. Messias, Shimon Whiteson:
Dynamic-Depth Context Tree Weighting. NIPS 2017: 3328-3337 - 2016
- [c9]Kyriacos Shiarlis, João V. Messias, Shimon Whiteson:
Inverse Reinforcement Learning from Failure. AAMAS 2016: 1060-1068 - [c8]Carlos Duarte, Inês Matos, João Vicente Messias, Ana Salvado, Carlos M. Duarte, Luís Carriço
Development technologies impact in web accessibility. W4A 2016: 6:1-6:4 - 2015
- [c7]Frans A. Oliehoek, Matthijs T. J. Spaan, Philipp Robbel, João V. Messias:
The MADP Toolbox: An Open-Source Library for Planning and Learning in (Multi-)Agent Systems. AAAI Fall Symposia 2015: 59-62 - [c6]João V. Messias, José J. Acevedo, Jesús Capitán, Luis Merino
A Particle-Filter Approach for Active Perception in Networked Robot Systems. ICSR 2015: 451-460 - 2014
- [c5]Stefan J. Witwicki, José Carlos Castillo, Jesús Capitán, João V. Messias, João C. G. Reis, Pedro U. Lima, Francisco S. Melo, Matthijs T. J. Spaan:
A testbed for autonomous robot surveillance. AAMAS 2014: 1635-1636 - [c4]João V. Messias, Rodrigo Ventura
A robotic platform for edutainment activities in a pediatric hospital. ICARSC 2014: 193-198 - 2013
- [c3]João Vicente Messias, Matthijs T. J. Spaan, Pedro U. Lima:
GSMDPs for Multi-Robot Sequential Decision-Making. AAAI 2013: 1408-1414 - [c2]João V. Messias, Matthijs T. J. Spaan, Pedro U. Lima:
Multiagent POMDPs with asynchronous execution. AAMAS 2013: 1273-1274 - 2011
- [c1]João V. Messias, Matthijs T. J. Spaan, Pedro U. Lima:
Efficient Offline Communication Policies for Factored Multiagent POMDPs. NIPS 2011: 1917-1925
Coauthor Index
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