Lunjun Zhang

19 papers A* 4A 1Misc 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
EMA Policy Gradient: Taming Reinforcement Learning for LLMs with EMA Anchor and Top-k KL.
CoRR
Lunjun Zhang, Jimmy Ba
2026 J jnl
Evolutionary System Prompt Learning for Reinforcement Learning in LLMs.
CoRR
Lunjun Zhang, Ryan Chen, Bradly C. Stadie
2025 J jnl
D2 Actor Critic: Diffusion Actor Meets Distributional Critic.
CoRR
Lunjun Zhang, Shuo Han, Hanrui Lyu, Bradly C. Stadie
2025 J jnl
D2 Actor Critic: Diffusion Actor Meets Distributional Critic.
Trans. Mach. Learn. Res.
Lunjun Zhang, Shuo Han, Hanrui Lyu, Bradly C. Stadie
2025 A* conf
Generative Verifiers: Reward Modeling as Next-Token Prediction.
ICLR
Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal
2025 J jnl
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction.
CoRR
Junhong Shen, Hao Bai, Lunjun Zhang, Yifei Zhou, Amrith Setlur, Shengbang Tong, Diego Caples, Nan Jiang, Tong Zhang, Ameet Talwalkar, Aviral Kumar
2024 A* conf
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.
ICLR
Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun
2024 J jnl
Generative Verifiers: Reward Modeling as Next-Token Prediction.
CoRR
Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal
2024 — conf
Learning to Drive via Asymmetric Self-Play.
ECCV (62)
Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun
2024 J jnl
Learning to Drive via Asymmetric Self-Play.
CoRR
Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun
2023 Misc conf
Learning Realistic Traffic Agents in Closed-loop.
CoRL
Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
2023 J jnl
Learning Realistic Traffic Agents in Closed-loop.
CoRR
Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
2023 J jnl
Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.
CoRR
Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun
2023 J jnl
Towards Unsupervised Object Detection From LiDAR Point Clouds.
CoRR
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
2023 A* conf
Towards Unsupervised Object Detection from LiDAR Point Clouds.
CVPR
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
2022 J jnl
Understanding Hindsight Goal Relabeling Requires Rethinking Divergence Minimization.
CoRR
Lunjun Zhang, Bradly C. Stadie
2021 A* conf
World Model as a Graph: Learning Latent Landmarks for Planning.
ICML
Lunjun Zhang, Ge Yang, Bradly C. Stadie
2020 A conf
Learning Intrinsic Rewards as a Bi-Level Optimization Problem.
UAI
Bradly C. Stadie, Lunjun Zhang, Jimmy Ba
2020 J jnl
World Model as a Graph: Learning Latent Landmarks for Planning.
CoRR
Lunjun Zhang, Ge Yang, Bradly C. Stadie