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Pablo Samuel Castro
Pablo Samuel Castro
Google
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Titel
Zitiert von
Zitiert von
Jahr
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
7312021
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
6402020
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
4302020
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
3532013
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
3462012
Dopamine: A research framework for deep reinforcement learning
PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
arXiv preprint arXiv:1812.06110, 2018
3112018
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
2262013
Contrastive behavioral similarity embeddings for generalization in reinforcement learning
R Agarwal, MC Machado, PS Castro, MG Bellemare
arXiv preprint arXiv:2101.05265, 2021
2082021
TF-Agents: A library for reinforcement learning in tensorflow
S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ...
GitHub repository, 2018
1972018
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
1742024
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
1532020
Revisiting rainbow: Promoting more insightful and inclusive deep reinforcement learning research
JSO Ceron, PS Castro
International Conference on Machine Learning, 1373-1383, 2021
143*2021
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
1412011
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
1092019
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
1022019
Methods for computing state similarity in Markov decision processes
N Ferns, PS Castro, D Precup, P Panangaden
arXiv preprint arXiv:1206.6836, 2012
1012012
The dormant neuron phenomenon in deep reinforcement learning
G Sokar, R Agarwal, PS Castro, U Evci
International Conference on Machine Learning, 32145-32168, 2023
852023
Bigger, better, faster: Human-level atari with human-level efficiency
M Schwarzer, JSO Ceron, A Courville, MG Bellemare, R Agarwal, ...
International Conference on Machine Learning, 30365-30380, 2023
812023
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
80*2022
Using bisimulation for policy transfer in MDPs
P Castro, D Precup
Proceedings of the AAAI conference on artificial intelligence 24 (1), 1065-1070, 2010
752010
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