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Dive into the research topics where Mengdi Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Collaborative Research: CPS: Medium: Provably Safe and Robust Multi-Agent Reinforcement Learning with Applications in Urban Air Mobility
Wang, M. (PI)
NSF - National Science Foundation
6/1/23 → 5/31/26
Project: Research project
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Policy Optimization for ReinforcementLearning Beyond Cumulative Rewards
Wang, M. (PI)
4/1/21 → 3/31/25
Project: Research project
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Collaborative Research: Statistical Optimization for Barcoding and Decoding Single-Cell Dynamics via CRISPR Gene Editing
Wang, M. (PI)
NSF - National Science Foundation
8/1/20 → 7/31/24
Project: Research project
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Stochastic Optimization and Learning for Planning in Autonomous Systems
Powell, W. B. (PI) & Wang, M. (PI)
Air Force Office of Scientific Research
7/1/19 → 6/30/22
Project: Research project
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A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions
Chu, Y., Yu, D., Li, Y., Huang, K., Shen, Y., Cong, L., Zhang, J. & Wang, M., Apr 2024, In: Nature Machine Intelligence. 6, 4, p. 449-460 12 p.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations -
Correction to: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions (Nature Machine Intelligence, (2024), 6, 4, (449-460), 10.1038/s42256-024-00823-9)
Chu, Y., Yu, D., Li, Y., Huang, K., Shen, Y., Cong, L., Zhang, J. & Wang, M., Aug 2024, In: Nature Machine Intelligence. 6, 8, p. 988 1 p.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Deep reinforcement learning identifies personalized intermittent androgen deprivation therapy for prostate cancer
Lu, Y., Chu, Q., Li, Z., Wang, M., Gatenby, R. & Zhang, Q., Mar 1 2024, In: Briefings in Bioinformatics. 25, 2, bbae071.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Efficient Reinforcement Learning with Impaired Observability: Learning to Act with Delayed and Missing State Observations
Chen, M., Meng, J., Bai, Y., Ye, Y., Vincent Poor, H. & Wang, M., 2024, In: IEEE Transactions on Information Theory. 70, 10, p. 7251-7272 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
Chakraborty, S., Bedi, A. S., Koppel, A., Wang, H., Manocha, D., Wang, M. & Huang, F., 2024.Research output: Contribution to conference › Paper › peer-review
2 Scopus citations