Seuraa
Pablo Samuel Castro
Pablo Samuel Castro
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
4522020
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
4422021
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
3372013
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
3372012
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
3182020
Dopamine: A research framework for deep reinforcement learning
PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
arXiv preprint arXiv:1812.06110, 2018
2742018
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
2072013
Contrastive behavioral similarity embeddings for generalization in reinforcement learning
R Agarwal, MC Machado, PS Castro, MG Bellemare
arXiv preprint arXiv:2101.05265, 2021
1712021
TF-Agents: A library for reinforcement learning in tensorflow
S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ...
see https://github. com/tensorflow/agents, 2018
1602018
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
1342011
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
1182020
Revisiting rainbow: Promoting more insightful and inclusive deep reinforcement learning research
JSO Ceron, PS Castro
International Conference on Machine Learning, 1373-1383, 2021
105*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
942019
Methods for computing state similarity in Markov decision processes
N Ferns, PS Castro, D Precup, P Panangaden
arXiv preprint arXiv:1206.6836, 2012
942012
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
852019
Using bisimulation for policy transfer in MDPs
P Castro, D Precup
Proceedings of the AAAI conference on artificial intelligence 24 (1), 1065-1070, 2010
632010
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
592018
Real time anomalous trajectory detection and analysis
L Sun, D Zhang, C Chen, PS Castro, S Li, Z Wang
Mobile Networks and Applications 18, 341-356, 2013
482013
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
43*2022
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
M Chevalier-Boisvert, B Dai, M Towers, R de Lazcano, L Willems, ...
arXiv preprint arXiv:2306.13831, 2023
422023
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