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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Reinforcement Learning in Robotics
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,145 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,145 works in the cohort · of 4,299,418page 6 of 23

Labels cover 2 of 1,145 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,145 of 1,145 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Brain Inspired Reinforcement Learning
François Rivest, Yoshua Bengio, John Kalaska
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertaç Karaman, Daniela Rus
2022· article· en· 2022 International Conference on Robotics and Automation (ICRA)· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
Count-Based Exploration with the Successor Representation
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
2020· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Robust Losses for Learning Value Functions
Andrew Patterson, Victor Liao, Martha White
2022· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Learning Robust Options
Daniel J. Mankowitz, Timothy Mann, Pierre‐Luc Bacon, Doina Precup, Shie Mannor
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Real-Time Reinforcement Learning
Simon Ramstedt
2019· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
fundno affunlabeled
Experience Replay Using Transition Sequences
Thommen George Karimpanal, Roland Bouffanais
2018· article· en· Frontiers in Neurorobotics· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Policy Iteration Based on Stochastic Factorization
André M. S. Barreto, Joëlle Pineau, Doina Precup
2014· article· en· Journal of Artificial Intelligence Research· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Elements of artificial emotion
T. Gomi, J. Vardalas, K. Ide
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Bootstrapping Apprenticeship Learning
Abdeslam Boularias, Brahim Chaib-draa
2010· article· en· Max Planck Digital Library· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
fundno affno abstractunlabeled
Machine learning and control theory
Alain Bensoussan, Yiqun Li, Dinh Phan Cao Nguyen, Minh-Binh Tran, Sheung Chi Phillip Yam, Xiang Zhou
2022· book-chapter· en· Handbook of numerical analysis· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
A Game Theoretic Approach to Swarm Robotics
Sidney Givigi, Howard M. Schwartz
2006· article· en· Applied Bionics and Biomechanics· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
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