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Dive into the research topics where Chi Jin 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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Projects
- 4 Active
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Collaborative Research: Frameworks: hpcGPT: Enhancing Computing Center User Support with HPC-enriched Generative AI
Jin, C. (PI)
NSF - National Science Foundation
8/1/24 → 7/31/27
Project: Research project
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CAREER: Foundations of Reinforcement Learning under Partial Observability
Jin, C. (PI)
NSF - National Science Foundation
8/1/23 → 7/31/28
Project: Research project
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Foundations of multiagent reinforcement learning
Jin, C. (PI)
4/1/22 → 3/31/25
Project: Research project
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RI: Medium: Provable Reinforcement Learning with Function Approximation and Neural Networks
Jin, C. (PI)
NSF - National Science Foundation
10/1/21 → 9/30/25
Project: Research project
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Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation
Wang, Y., Liu, Q., Bai, Y. & Jin, C., 2023, In: Proceedings of Machine Learning Research. 195, p. 2793-2848 56 p.Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations -
Context-lumpable stochastic bandits
Lee, C. W., Liu, Q., Abbasi-Yadkori, Y., Jin, C., Lattimore, T. & Szepesvári, C., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
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DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
Khaled, A., Mishchenko, K. & Jin, C., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
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Efficient displacement convex optimization with particle gradient descent
Daneshmand, H., Lee, J. D. & Jin, C., 2023, In: Proceedings of Machine Learning Research. 202, p. 6836-6854 19 p.Research output: Contribution to journal › Conference article › peer-review
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Is RLHF More Difficult than Standard RL? A Theoretical Perspective
Wang, Y., Liu, Q. & Jin, C., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review