Bowen Weng

Orcid: 0000-0002-7868-9747

According to our database1, Bowen Weng authored at least 28 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Diversity Analysis of Safety Metrics Comparing Vehicle Performance in the Lead-Vehicle Interaction Regime.
IEEE Trans. Intell. Transp. Syst., November, 2023

On the Comparability and Optimal Aggressiveness of the Adversarial Scenario-Based Safety Testing of Robots.
IEEE Trans. Robotics, August, 2023

A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric.
IEEE Trans. Intell. Transp. Syst., June, 2023

Data-Driven Latent Space Representation for Robust Bipedal Locomotion Learning.
CoRR, 2023

Towards Standardized Disturbance Rejection Testing of Legged Robot Locomotion with Linear Impactor: A Preliminary Study, Observations, and Implications.
CoRR, 2023

Template Model Inspired Task Space Learning for Robust Bipedal Locomotion.
IROS, 2023

2022
Towards Guaranteed Safety Assurance of Automated Driving Systems With Scenario Sampling: An Invariant Set Perspective.
IEEE Trans. Intell. Veh., 2022

A Formal Characterization of Black-Box System Safety Performance With Scenario Sampling.
IEEE Robotics Autom. Lett., 2022

Rethink the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal Aggressiveness.
CoRR, 2022

A Formal Safety Characterization of Advanced Driver Assist Systems in the Car-Following Regime with Scenario-Sampling.
CoRR, 2022

Reinforcement Learning-Based Cascade Motion Policy Design for Robust 3D Bipedal Locomotion.
IEEE Access, 2022

On Safety Testing, Validation, and Characterization with Scenario-Sampling: A Case Study of Legged Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

On the Convergence of Multi-robot Constrained Navigation: A Parametric Control Lyapunov Function Approach.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version).
CoRR, 2021

Finite-time theory for momentum Q-learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Class of Model Predictive Safety Performance Metrics for Driving Behavior Evaluation.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety.
Proceedings of the 2021 American Control Conference, 2021

2020
Momentum Q-learning with Finite-Sample Convergence Guarantee.
CoRR, 2020

Model Predictive Instantaneous Safety Metric for Evaluation of Automated Driving Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Momentum-based Accelerated Q-learning.
CoRR, 2019

Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning.
CoRR, 2019

Reinforcement Learning Meets Hybrid Zero Dynamics: A Case Study for RABBIT.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Reinforcement Learning Meets Hybrid Zero Dynamics: A Case Study for RABBIT.
CoRR, 2018


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