Shengbo Eben Li
Full Professor
Works on autonomous and connected vehicles, embodied intelligence, reinforcement learning such as distributional soft actor-critic, and optimal control.
Shengbo Eben Li's lab at Tsinghua works on planning, control & multi-robot systems, embodied & active vision and reinforcement learning. 57 papers since 2023, 9 at top venues, mostly TNNLS and RA-L. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 16%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 23 papers2025 · T1 3
- 21 papers2024 · T1 4
- 13 papers2023 · T1 2
T1 venuesOtherVenues: TNNLS, RA-L, TAC, TPAMI, Neurocomputing
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems20 papers
- Reinforcement learning19 papers
- vehicle2 papers
- Embodied & active vision0 papers
- connected vehicles0 papers
Paper list
From the lab homepage.
202523 papers
- The American Control Conference (ACC), Denver, CO, USACanonical Form of Datatic Description in Control Systems
- TNNLS (T1)Conformal Symplectic Optimization for Stable Reinforcement Learning
- The IEEE International Conference on Control & Automation (IEEE ICCA), Tallinn, EstoniaDesign and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems
- International Journal of Robust and Nonlinear Control, Early AccessDistributed Sliding Mode Control for Nonlinear Multi-Agent Consensus
- The IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC), Gold Coast, AustraliaDistributional Soft Actor-Critic with Diffusion Policy
- TPAMI (T1)Distributional Soft Actor-Critic with Three Refinements
- IEEE Transactions on CyberneticsFeasible Policy Iteration With Guaranteed Safe Exploration
- TNNLS (T1)Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning
- IEEE Transactions on Intelligent Transportation SystemsLightweight Strategies for Decision-Making of Autonomous Vehicles in Lane Change Scenarios Based on Deep Reinforcement Learning
- The International Conference on Machine Learning (ICML), Vancouver, CanadaLipsNet++: Unifying Filter and Controller into a Policy Network
- The IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC), Gold Coast, AustraliaNANO-SLAM: Natural Gradient Gaussian Approximation for Vehicle SLAM
- The International Conference on Learning Representations (ICLR), SingaporeODE-based Smoothing Neural Network for Reinforcement Learning Tasks
202421 papers
- IEEE Transactions on Intelligent Transportation Systems.A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios
- IEEE Transactions on Intelligent Transportation SystemsA transformation-aggregation framework for state representation of autonomous driving systems
- The Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI), Vancouver, CanadaBAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving
- Communications in Transportation ResearchControllability Test for Nonlinear Datatic Systems
- The Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, CanadaDiffusion Actor-Critic with Entropy Regulator
- IEEE Computational Intelligence MagazineEncoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios
- IEEE Transactions on Intelligent Transportation SystemsEnhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model
- The International Conference on Machine Learning (ICML), Vienna, AustriaFeasible Reachable Policy Iteration
- The IEEE International Conference on Robotics and Automation (ICRA), Yokohama, JapanHuman Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments
- IEEE Transactions on Industrial InformaticsInverse Model Predictive Control: Learning Optimal Control Cost Functions for MPC
- TNNLS (T1)Model-based Chance-Constrained Reinforcement Learning via Separated Proportional -Integral Lagrangian
- IEEE Transactions on CyberneticsOptimization Landscape of Policy Gradient Methods for Discrete-time Static Output Feedback
202313 papers
- The American Control Conference (ACC), San Diego, CA, USABelief State Actor-Critic Algorithm from Separation Principle for POMDP
- The American Control Conference (ACC), San Diego, CA, USAContinuous-Time Policy Optimization
- The CAA International Conference on Vehicular Control and Intelligence (CVCI), : 27-29Enhance Generality by Model-based Reinforcement Learning and Domain Randomization
- The CAA International Conference on Vehicular Control and Intelligence (CVCI), Changsha, ChinaEnhanced Generality by Model-based Reinforcement Learning and Domain Randomization
- The American Control Conference (ACC), San Diego, CA, USAGeneralized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers
- Communications in Transportation ResearchGOPS: A general optimal control problem solver for autonomous driving and industrial control applications
- IEEE Transactions on Intelligent VehiclesIntegrated Graphical Representation of Highway Scenarios to Improve Trajectory Prediction of Surrounding Vehicles
- RA-LModel-free safe reinforcement learning through neural barrier certificate
- The CAA International Conference on Vehicular Control and Intelligence (CVCI), ChangshaMulti-sensor Calibration System for Mobile Robots
- TNNLS (T1)Policy Iteration based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control
- TNNLS (T1)Robust Approximate Dynamic Programming for Nonlinear Systems with Both Model Error and External Disturbance
- The IEEE Conference on Decision and Control (IEEE CDC), Marina Bay Sands, SingaporeRobust safe reinforcement learning under adversarial disturbances
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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