Research output per year
Research output per year
Personal profile
Research Interests
My research interest lies in the general areas of artificial intelligence and machine learning, with particular emphasis on:
- Deep reinforcement learning
- Multi-agent reinforcement learning
- Game theory
- Autonomous coordination and control
- Collective intelligence
- AI safety
- AI for social good
Education/Academic qualification
PhD, Tsinghua University
Fingerprint
Dive into the research topics where Esther Jin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Achieving collective welfare in multi-agent reinforcement learning via suggestion sharing
Jin, Y., Wei, S. & Montana, G., 15 Jul 2025, In: Machine Learning. 114, 27 p., 190.Research output: Contribution to Journal › Article › peer-review
Open AccessFile -
Goal-conditioned offline reinforcement learning through state space partitioning
Wang, M., Jin, Y. & Montana, G., 5 Feb 2024, In: Machine Learning. 113, p. 2435-2465 31 p.Research output: Contribution to Journal › Article › peer-review
Open AccessFile -
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control
Qiu, Y., Zhan, Y., Jin, Y., Wang, J. & Zhang, X., 18 Jan 2022, 2022 IEEE 96th Vehicular Technology Conference . IEEE, 7 p. (IEEE Vehicular Technology Conference).Research output: Contribution to Book/Report › Chapter › peer-review