364 citations · 471 across the 6 of their papers we have counts for
6 papers
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
Tianmeng Hu, Biao Luo, Chunhua Yang +1
Deep reinforcement learning (RL) has been applied extensively to solve complex decision-making problems. In many real-world scenarios, tasks often have several conflicting objectiv…
Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System
Zheng Xiong, Biao Luo, Bing-Chuan Wang +3
This paper develops a Decentralized Multi-Agent Reinforcement Learning (Dec-MARL) method to solve the SoC balancing problem in the distributed energy storage system (DESS). First,…
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
Xinglong Zhang, Yaoqian Peng, Biao Luo +3
Recently, safe reinforcement learning (RL) with the actor-critic structure for continuous control tasks has received increasing attention. It is still challenging to learn a near-o…
Q-learning for Optimal Control of Continuous-time Systems
Biao Luo, Derong Liu, Tingwen Huang
In this paper, two Q-learning (QL) methods are proposed and their convergence theories are established for addressing the model-free optimal control problem of general nonlinear co…
Data-based approximate policy iteration for nonlinear continuous-time optimal control design
Biao Luo, Huai-Ning Wu, Tingwen Huang +1
This paper addresses the model-free nonlinear optimal problem with generalized cost functional, and a data-based reinforcement learning technique is developed. It is known that the…
Off-policy reinforcement learning for control design
Biao Luo, Huai-Ning Wu, Tingwen Huang
The control design problem is considered for nonlinear systems with unknown internal system model. It is known that the nonlinear control problem can be tra…