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BitePal: Global Nutrition & Diet Rankings (Dec 2025–July 2026)
Dec 2025: #3 worldwide, 798,680 downloads (+37.6% MoM). Jan 2026: #2 worldwide, 1.8M downloads. Apr 2026: #1 App of the Day in 18 LATAM countries. July 2026: #1 App of the Day in India.
When Can Pre-Trained Policies Be Reused? Inference-Time Policy Composition from Fixed Policy Libraries
My project as part of the RAI for Ukraine program got accepted to the CIKM 2026 Short Paper Track — inference-time policy reuse in offline reinforcement learning. Extended version available on arXiv; code released on GitHub.
publications
LEVER: Inference-Time Policy Reuse under Support Constraints
Published in arXiv preprint, 2026
Inference-time policy reuse under support constraints. Extended version of the CIKM 2026 short paper.
Recommended citation: Vitenko, I., et al. (2026). "LEVER: Inference-Time Policy Reuse under Support Constraints." arXiv preprint.
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Methods for Optimizing Reasoning in Small Vision-Language Models Based on Reinforcement Learning
Published in Theoretical and Applied Problems of Physics, Mathematics and Informatics: Proceedings of the XXIV All-Ukrainian Scientific and Practical Conference of Students, Postgraduates and Young Scientists, 2026
Reinforcement learning methods for optimizing reasoning in small vision-language models.
Recommended citation: Vitenko, I. O., & Kussul, N. M. (2026). "Methods for Optimizing Reasoning in Small Vision-Language Models Based on Reinforcement Learning." In Theoretical and Applied Problems of Physics, Mathematics and Informatics: Proceedings of the XXIV All-Ukrainian Scientific and Practical Conference of Students, Postgraduates and Young Scientists, Kyiv, Ukraine, p. 302. Kyiv: Igor Sikorsky Kyiv Polytechnic Institute, Politechnika Publishing House. ISBN 978-966-990-053-1.
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When Can Pre-Trained Policies Be Reused? Inference-Time Policy Composition from Fixed Policy Libraries
Published in Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), Short Paper Track, 2026
Inference-time composition of pretrained policies from a fixed policy library, without additional environment interaction.
Recommended citation: Vitenko, I., Ibrahim, N., & Amer-Yahia, S. (2026). "When Can Pre-Trained Policies Be Reused? Inference-Time Policy Composition from Fixed Policy Libraries." In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), Short Paper Track.