Lunjun Zhang

According to our database, Lunjun Zhang authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Evolutionary System Prompt Learning for Reinforcement Learning in LLMs.

Lunjun Zhang, Ryan Chen, Bradly C. Stadie

CoRR, February, 2026

EMA Policy Gradient: Taming Reinforcement Learning for LLMs with EMA Anchor and Top-k KL.

Lunjun Zhang, Jimmy Ba

CoRR, February, 2026

2025

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction.

Junhong Shen, Hao Bai, Lunjun Zhang, Yifei Zhou, Amrith Setlur, Shengbang Tong, Diego Caples, Nan Jiang, Tong Zhang, Ameet Talwalkar, Aviral Kumar

CoRR, June, 2025

D2 Actor Critic: Diffusion Actor Meets Distributional Critic.

Lunjun Zhang, Shuo Han, Hanrui Lyu, Bradly C. Stadie

Trans. Mach. Learn. Res., 2025

Generative Verifiers: Reward Modeling as Next-Token Prediction.

Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.

Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Drive via Asymmetric Self-Play.

Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.

Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun

CoRR, 2023

Towards Unsupervised Object Detection from LiDAR Point Clouds.

Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Realistic Traffic Agents in Closed-loop.

Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 2023

2022

Understanding Hindsight Goal Relabeling Requires Rethinking Divergence Minimization.

Lunjun Zhang, Bradly C. Stadie

CoRR, 2022

2021

World Model as a Graph: Learning Latent Landmarks for Planning.

Lunjun Zhang, Ge Yang, Bradly C. Stadie

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning Intrinsic Rewards as a Bi-Level Optimization Problem.

Bradly C. Stadie, Lunjun Zhang, Jimmy Ba

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020