Lu Wen

Joined

October 2022

Names

Lu Wen (Preferred)

Emails

****@umich.edu (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

PhD student

University of Michigan - Ann Arbor (umich.edu)

2020 – 2024

MS student

University of Michigan - Ann Arbor (umich.edu)

2018 – 2020

Undergrad student

Tsinghua University, Tsinghua University (tsinghua.edu.cn)

2014 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination
Lu Wen, Songan Zhang, Eric H. Tseng, Huei Peng
- Submitted to ICLR 2024
- Readers: Everyone
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization
Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- IROS 2022
- Readers: Everyone
Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL
Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CoRR 2021
- Readers: Everyone
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning
Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CoRR 2021
- Readers: Everyone
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning
Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- ITSC 2021
- Readers: Everyone
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization*
Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- ITSC 2020
- Readers: Everyone
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization
Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- CoRR 2020
- Readers: Everyone

Lu Wen

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination

Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization

Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL

Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning

Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization*

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization

Co-Authors