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20182022
most citedMomentum Q-learning with Finite-Sample Convergence Guarantee

8 citations · 13 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.RO2022

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

Bowen Weng, Minghao Zhu, Keith Redmill

The capability to follow a lead-vehicle and avoid rear-end collisions is one of the most important functionalities for human drivers and various Advanced Driver Assist Systems (ADA…

cs.RO2021

Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot

Guillermo A. Castillo, Bowen Weng, Wei Zhang +1

In this paper, a hierarchical and robust framework for learning bipedal locomotion is presented and successfully implemented on the 3D biped robot Digit built by Agility Robotics.…

cs.RO2020

Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller

Guillermo A. Castillo, Bowen Weng, Terrence C. Stewart +2

This paper presents a neural-network based adaptive feedback control structure to regulate the velocity of 3D bipedal robots under dynamics uncertainties. Existing Hybrid Zero Dyna…

cs.RO2020

Model Predictive Instantaneous Safety Metric for Evaluation of Automated Driving Systems

Bowen Weng, Sughosh J. Rao, Eeshan Deosthale +2

Vehicles with Automated Driving Systems (ADS) operate in a high-dimensional continuous system with multi-agent interactions. This continuous system features various types of traffi…

cs.RO2019

Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning

Guillermo A. Castillo, Bowen Weng, Wei Zhang +1

This paper presents a novel model-free reinforcement learning (RL) framework to design feedback control policies for 3D bipedal walking. Existing RL algorithms are often trained in…

cs.RO20194 cited

Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning

Hao Li, Bowen Weng, Abhishek Gupta +2

Finding feasible and collision-free paths for multiple nonlinear agents is challenging in the decentralized scenarios due to limited available information of other agents and compl…