Projects per year
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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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Projects
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RI: Medium: Provable Reinforcement Learning with Function Approximation and Neural Networks
NSF - National Science Foundation
10/1/21 → 9/30/24
Project: Research project
Research output
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On Nonconvex Optimization for Machine Learning
Jin, C., Netrapalli, P., Ge, R., Kakade, S. M. & Jordan, M. I., Mar 2021, In: Journal of the ACM. 68, 2, 3418526.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Foreword
Guo, Y., Chen, B., Jin, C. & Li, K., Jan 1 2020, Deep Reinforcement Learning: Fundamentals, Research and Applications. Springer Singapore, p. v-viResearch output: Chapter in Book/Report/Conference proceeding › Foreword/postscript
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Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
Jin, C., Jin, T., Luo, H., Sra, S. & Yu, T., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 4810-4819 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-7).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
Near-optimal reinforcement learning with self-play
Bai, Y., Jin, C. & Yu, T., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
On function approximation in reinforcement learning: Optimism in the face of large state spaces
Yang, Z., Jin, C., Wang, Z., Wang, M. & Jordan, M. I., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review