Lau Luk Peter, Chen
Logo EECS, UC Berkeley

I do RL and Optimization, with application to LLM post training and generative models. Currently, I'm very fortunate to work with Dawn Song and Sergey Levine.

I also work under Wotao Yin on post training. I did my undergrad at Columbia, advised by Andrew Blumberg and Tianyi Lin.


Education
  • University of California, Berkeley
    University of California, Berkeley
    Ph.D. in Computer Science
    May. 2031
  • Columbia College, Columbia University
    Columbia College, Columbia University
    B.A. in Mathematics, Computer Science
    May. 2026
Teaching & Service
  • TA for Analysis & Optimization (Sp 24/Fa 24/Sp 25/Fa 25/Sp 26)
  • Reviewer for NeurIPS, ICLR, ICML, AAAI, TMLR
Selected Publications (view all )
Reward-free Alignment for Conflicting Objectives
Reward-free Alignment for Conflicting Objectives

Peter Chen, Xiaopeng Li, Xi Chen, Tianyi Lin

Proceedings of the International Conference on Machine Learning (ICML 2026) Oral

Reward-free Alignment for Conflicting Objectives

Peter Chen, Xiaopeng Li, Xi Chen, Tianyi Lin

Proceedings of the International Conference on Machine Learning (ICML 2026) Oral

Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward

Peter Chen, Xiaopeng Li, Ziniu Li, Wotao Yin, Xi Chen, Tianyi Lin

Proceedings of the International Conference on Learning Representations (ICLR 2026)

Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward

Peter Chen, Xiaopeng Li, Ziniu Li, Wotao Yin, Xi Chen, Tianyi Lin

Proceedings of the International Conference on Learning Representations (ICLR 2026)

ComPO: Preference Alignment via Comparison Oracles
ComPO: Preference Alignment via Comparison Oracles

Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin

Advances in Neural Information Processing Systems 38 (NeurIPS 2025)

ComPO: Preference Alignment via Comparison Oracles

Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin

Advances in Neural Information Processing Systems 38 (NeurIPS 2025)

3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence
3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence

Peter Chen, Bryan Chang, Olivia Annette Creasey, Julie Beth Sneddon, Zev Gartner, Yining Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026)

3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence

Peter Chen, Bryan Chang, Olivia Annette Creasey, Julie Beth Sneddon, Zev Gartner, Yining Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026)

Stepwise Guided Policy Optimization: Coloring your Incorrect Reasoning in GRPO
Stepwise Guided Policy Optimization: Coloring your Incorrect Reasoning in GRPO

Peter Chen, Xiaopeng Li, Ziniu Li, Xi Chen, Tianyi Lin

Transactions on Machine Learning Research (TMLR 2026)

Stepwise Guided Policy Optimization: Coloring your Incorrect Reasoning in GRPO

Peter Chen, Xiaopeng Li, Ziniu Li, Xi Chen, Tianyi Lin

Transactions on Machine Learning Research (TMLR 2026)

All publications