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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.

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.

affaffiliation
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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 12 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Escaping local optima in POMDP planning as inference
Pascal Poupart, Tobias Lang, Marc Toussaint
2011· article· en· Adaptive Agents and Multi-Agents Systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
LEAF: Latent Exploration Along the Frontier
Homanga Bharadhwaj, Animesh Garg, Florian Shkurti
2021· preprint· en· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
3
citations
affunlabeled
Eligibility Traces for Options
Ayush Jain, Doina Precup
2018· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Integrating a robot in a tabletop reservoir engineering application
Sowmya Somanath, Ehud Sharlin, Mário Costa Sousa
2013· article· en· 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
3
citations
fundno affunlabeled
Stochastic Generative Flow Networks
Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio
2023· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affno abstractunlabeled
Uniformly constrained reinforcement learning
Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki
2023· article· en· Autonomous Agents and Multi-Agent Systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affno abstractunlabeled
Learning the Difference between Partially Observable Dynamical Systems
Sami Zhioua, Doina Precup, François Laviolette, Josée Desharnais
2009· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+research_integrityconsensus · none
3
citations
fundno affunlabeled
Reward Centering
Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton
2024· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
3
citations
affno abstractunlabeled
Retrieval-Augmented Neural Team Formation
Mohammad Dara, Radin Hamidi Rad, Fattane Zarrinkalam, Ebrahim Bagheri
2025· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
Variance Penalized On-Policy and Off-Policy Actor-Critic
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Emphatic Algorithms for Deep Reinforcement Learning
Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell +1 more
2021· article· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Reinforcement Agents for E-Learning Applications
Hamid R. Tizhoosh, Maryam Shokri, Mohamed S. Kamel
2007· book-chapter· en· Advanced information and knowledge processing· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations

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