Beining Han

About Beining Han

Beining Han, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Computer Vision, Robotics, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Infinite photorealistic worlds using procedural generation

Off-policy reinforcement learning with delayed rewards

Towards understanding cooperative multi-agent q-learning with value factorization

Learning domain invariant representations in goal-conditioned block mdps

On the estimation bias in double q-learning

Dop: Off-policy multi-agent decomposed policy gradients

Beining Han Information

University

Position

Junior undergrad IIIS

Citations(all)

227

Citations(since 2020)

227

Cited By

12

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Beining Han Skills & Research Interests

Computer Vision

Robotics

Reinforcement Learning

Top articles of Beining Han

Off-policy reinforcement learning with delayed rewards

2022/6/28

Towards understanding cooperative multi-agent q-learning with value factorization

2021/12/6

Learning domain invariant representations in goal-conditioned block mdps

Advances in Neural Information Processing Systems

2021/12/6

On the estimation bias in double q-learning

2021/12/6

Dop: Off-policy multi-agent decomposed policy gradients

2020/9/28

See List of Professors in Beining Han University(Tsinghua University)

Co-Authors

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