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Pablo Samuel Castro
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Cited by
Year
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
5282021
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
5142020
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
3402013
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
3392020
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
3362012
Dopamine: A research framework for deep reinforcement learning
PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
arXiv preprint arXiv:1812.06110, 2018
2852018
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
2162013
Contrastive behavioral similarity embeddings for generalization in reinforcement learning
R Agarwal, MC Machado, PS Castro, MG Bellemare
arXiv preprint arXiv:2101.05265, 2021
1832021
TF-Agents: A library for reinforcement learning in tensorflow
S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ...
GitHub repository, 2018
1692018
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
1382011
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
1302020
Revisiting rainbow: Promoting more insightful and inclusive deep reinforcement learning research
JSO Ceron, PS Castro
International Conference on Machine Learning, 1373-1383, 2021
113*2021
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
982019
Methods for computing state similarity in Markov decision processes
N Ferns, PS Castro, D Precup, P Panangaden
arXiv preprint arXiv:1206.6836, 2012
952012
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
872019
Minigrid & miniworld: Modular & customizable reinforcement learning environments for goal-oriented tasks
M Chevalier-Boisvert, B Dai, M Towers, R Perez-Vicente, L Willems, ...
Advances in Neural Information Processing Systems 36, 2024
652024
Using bisimulation for policy transfer in MDPs
P Castro, D Precup
Proceedings of the AAAI conference on artificial intelligence 24 (1), 1065-1070, 2010
652010
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
602018
Reincarnating reinforcement learning: Reusing prior computation to accelerate progress
R Agarwal, M Schwarzer, PS Castro, AC Courville, M Bellemare
Advances in Neural Information Processing Systems 35, 28955-28971, 2022
50*2022
Mico: Improved representations via sampling-based state similarity for markov decision processes
PS Castro, T Kastner, P Panangaden, M Rowland
Advances in Neural Information Processing Systems 34, 30113-30126, 2021
502021
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