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Wei Xu

16 papers hereh-index 11413 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author11
  • last author3

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.AI3
  • cs.RO3
  • cs.CC1
  • cs.CV1
  • cs.IT1
same name
  • Wei Xu — 54 papers, h 63
  • Wei Xu — 43 papers, h 31
  • Wei Xu — 41 papers, h 44
  • Wei Xu — 37 papers, h 45
  • Wei Xu — 30 papers, h 44
  • Wei Xu — 19 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedTowards Safe Reinforcement Learning with a Safety Editor Policy

12 citations · 50 across the 15 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.RO2023★ 8 cited

Imitation with Spatial-Temporal Heatmap: 2nd Place Solution for NuPlan Challenge

Yihan Hu, Kun Li, Pingyuan Liang +7

This paper presents our 2nd place solution for the NuPlan Challenge 2023. Autonomous driving in real-world scenarios is highly complex and uncertain. Achieving safe planning in the…

cs.RO2023

Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework

Lingfeng Sun, Haichao Zhang, Wei Xu +1

In this work, we investigate the potential of improving multi-task training and also leveraging it for transferring in the reinforcement learning setting. We identify several chall…

cs.CV2023

Text-guided Eyeglasses Manipulation with Spatial Constraints

Jiacheng Wang, Ping Liu, Jingen Liu +1

Virtual try-on of eyeglasses involves placing eyeglasses of different shapes and styles onto a face image without physically trying them on. While existing methods have shown impre…

cs.AI2023★ 5 cited

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning

Haichao Zhang, We Xu, Haonan Yu

Pre-training with offline data and online fine-tuning using reinforcement learning is a promising strategy for learning control policies by leveraging the best of both worlds in te…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.