Pablo Samuel Castro
Citée par
Citée par
Urban traffic modelling and prediction using large scale taxi GPS traces
PS Castro, D Zhang, S Li
International Conference on Pervasive Computing, 57-72, 2012
From taxi GPS traces to social and community dynamics: A survey
PS Castro, D Zhang, C Chen, S Li, G Pan
ACM Computing Surveys (CSUR) 46 (2), 1-34, 2013
Dopamine: A research framework for deep reinforcement learning
PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
arXiv preprint arXiv:1812.06110, 2018
Rigging the lottery: Making all tickets winners
U Evci, T Gale, J Menick, PS Castro, E Elsen
International Conference on Machine Learning, 2943-2952, 2020
iBOAT: Isolation-based online anomalous trajectory detection
C Chen, D Zhang, PS Castro, N Li, L Sun, S Li, Z Wang
IEEE Transactions on Intelligent Transportation Systems 14 (2), 806-818, 2013
Real-time detection of anomalous taxi trajectories from GPS traces
C Chen, D Zhang, P Samuel Castro, N Li, L Sun, S Li
International Conference on Mobile and Ubiquitous Systems: Computing …, 2011
Autonomous navigation of stratospheric balloons using reinforcement learning
MG Bellemare, S Candido, PS Castro, J Gong, MC Machado, S Moitra, ...
Nature 588 (7836), 77-82, 2020
TF-Agents: A library for reinforcement learning in tensorflow
S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ...
GitHub repository, 2018
Deep reinforcement learning at the edge of the statistical precipice
R Agarwal, M Schwarzer, PS Castro, AC Courville, M Bellemare
Advances in neural information processing systems 34, 29304-29320, 2021
Methods for computing state similarity in Markov decision processes
N Ferns, PS Castro, D Precup, P Panangaden
arXiv preprint arXiv:1206.6836, 2012
A geometric perspective on optimal representations for reinforcement learning
M Bellemare, W Dabney, R Dadashi, A Ali Taiga, PS Castro, N Le Roux, ...
Advances in neural information processing systems 32, 2019
Contrastive behavioral similarity embeddings for generalization in reinforcement learning
R Agarwal, MC Machado, PS Castro, MG Bellemare
arXiv preprint arXiv:2101.05265, 2021
Scalable methods for computing state similarity in deterministic markov decision processes
PS Castro
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10069 …, 2020
A comparative analysis of expected and distributional reinforcement learning
C Lyle, MG Bellemare, PS Castro
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4504-4511, 2019
An atari model zoo for analyzing, visualizing, and comparing deep reinforcement learning agents
FP Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, L Schubert, ...
arXiv preprint arXiv:1812.07069, 2018
Using bisimulation for policy transfer in MDPs
PS Castro, D Precup
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Revisiting rainbow: Promoting more insightful and inclusive deep reinforcement learning research
JSO Ceron, PS Castro
International Conference on Machine Learning, 1373-1383, 2021
Real time anomalous trajectory detection and analysis
L Sun, D Zhang, C Chen, PS Castro, S Li, Z Wang
Mobile Networks and Applications 18 (3), 341-356, 2013
Equivalence relations in fully and partially observable Markov decision processes
PS Castro, P Panangaden, D Precup
Twenty-First International Joint Conference on Artificial Intelligence, 2009
Using Linear Programming for Bayesian Exploration in Markov Decision Processes.
PS Castro, D Precup
IJCAI 24372442, 2007
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20