activity
20142021
most citedSafe Multi-Agent Reinforcement Learning through Decentralized Multiple Control Barrier Functions

13 citations · 25 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2021

A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn

Hao Xiong, Huanhui Cao, Lin Zhang +1

Pursuit-evasion games are ubiquitous in nature and in an artificial world. In nature, pursuer(s) and evader(s) are intelligent agents that can learn from experience, and dynamics (…

cs.MA2021★ 13 cited

Safe Multi-Agent Reinforcement Learning through Decentralized Multiple Control Barrier Functions

Zhiyuan Cai, Huanhui Cao, Wenjie Lu +2

Multi-Agent Reinforcement Learning (MARL) algorithms show amazing performance in simulation in recent years, but placing MARL in real-world applications may suffer safety problems.…

cs.RO2020

Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection

Tianming Wang, Wenjie Lu, Huan Yu +1

Underwater robots in shallow waters usually suffer from strong wave forces, which may frequently exceed robot's control constraints. Learning-based controllers are suitable for dis…

cs.RO2019

A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances

Wenjie Lu, Dikai Liu

Reinforcement Learning (RL) is limited in practice by its gray-box nature, which is responsible for insufficient trustiness from users, unsatisfied interpretation for human interve…

cs.RO2019★ 4 cited

DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances

Tianming Wang, Wenjie Lu, Zheng Yan +1

This paper presents an observer-integrated Reinforcement Learning (RL) approach, called Disturbance OBserver Network (DOB-Net), for robots operating in environments where disturban…

cs.IT2014★ 7 cited

An Information Value Function for Nonparametric Gaussian Processes

Hongchuan Wei, Wenjie Lu, Silvia Ferrari

This paper presents a novel information value function that can be used in online sensor planning to monitor a spatial phenomenon in which the spatial phenomenon is modeled by nonp…

gr-qc2014★ 1 cited

Teleparallel Poincaré Cosmology and CDM Model

Wenjie Lu, Wolung Lee, Kin-Wang Ng

We apply the teleparallelism condition to the Poincaré gauge theory of gravity. The resultant teleparallelized cosmology is completely equivalent to the Friedmann cosmology derived…