Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. - Shengchao Yan; Jingwei Zhang 001; Daniel Büscher; Wolfram Burgard (IROS, 2020)

Courteous Behavior of Automated Vehicles at Unsignalized Intersections Via Reinforcement Learning. - Shengchao Yan; Tim Welschehold; Daniel Büscher; Wolfram Burgard (IEEE Robotics Autom. Lett., 2022)

Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning. - Shengchao Yan; Yuan Zhang 027; Baohe Zhang; Joschka Boedecker; Wolfram Burgard (CoRR, 2023)

Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry. - Shengchao Yan; Baohe Zhang; Yuan Zhang 027; Joschka Boedecker; Wolfram Burgard (ICRA, 2024)

Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving. - Shengchao Yan; Lukas König; Wolfram Burgard (IROS, 2024)

Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. - Yue Yao; Shengchao Yan; Daniel Goehring; Wolfram Burgard; Joerg Reichardt (IROS, 2024)

Single-Agent Actor Critic for Decentralized Cooperative Driving. - Shengchao Yan; Lukas König; Wolfram Burgard (CoRR, 2024)

Multi-convex Programming for Discrete Latent Factor Models Prototyping. - Hao Zhu; Shengchao Yan; Jasper Hoffmann; Joschka Boedecker (CoRR, 2025)

BYE: Build Your Encoder With One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding. - Chenguang Huang; Shengchao Yan; Wolfram Burgard (IEEE Robotics Autom. Lett., 2025)