João Carvalho Team
João Carvalho
Quick Info
Research Interests
Machine Learning, Robotics, Reinforcement Learning
More Information
Personal Website Publications Google Scholar
Contact Information
Mail.
João Carvalho
TU Darmstadt, FG-IAS
Hochschulstr. 10, 64289 Darmstadt
Office. Room E325, Building S2|02
+49-6151-16-25372
joao.correia_carvalho@tu-darmstadt.de
João joined the Intelligent Autonomous Systems Group as a PhD student in November 2019. He received a MSc degree in Computer Science from the Albert-Ludwigs-Universität Freiburg, and previously completed a Master in Electrical and Computer Engineering from the Instituto Superior Técnico at the University of Lisbon.His master's thesis entitled "Nonparametric Off-Policy Policy Gradient" was written at IAS, supervised by Samuele Tosatto, and explored an approach to obtain an off-policy gradient update with better sample-efficiency.
Key References
Measure-Valued Derivatives
- Carvalho, J., Tateo, D., Muratore, F., Peters, J. (2021). An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients, International Joint Conference on Neural Networks (IJCNN). Download Article BibTeX Reference
Offpolicy and Offline Reinforcement Learning
- Tosatto, S.; Carvalho, J.; Peters, J. (in press). Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). Download Article BibTeX Reference
- Tosatto, S.; Carvalho, J.; Abdulsamad, H.; Peters, J. (2020). A Nonparametric Off-Policy Policy Gradient, Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS). Download Article BibTeX Reference
- Carvalho, J.A.C. (2019). Nonparametric Off-Policy Policy Gradient, Master Thesis. Download Article BibTeX Reference
