Xiaolin Ai

Orcid: 0000-0001-7943-8336

According to our database1, Xiaolin Ai authored at least 11 papers between 2017 and 2024.

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

Timeline

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Links

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Bibliography

2024
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph.
CoRR, 2024

Measuring Policy Distance for Multi-Agent Reinforcement Learning.
CoRR, 2024

2023
A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems.
Proceedings of the International Joint Conference on Neural Networks, 2023

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Fixed-time consensus disturbance rejection for high-order nonlinear multi-agent systems with input saturation.
Trans. Inst. Meas. Control, 2022

Learning Heterogeneous Agent Cooperation via Multiagent League Training.
CoRR, 2022

Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach.
CoRR, 2022

2020
Adaptive robust bipartite consensus of high-order uncertain multi-agent systems over cooperation-competition networks.
J. Frankl. Inst., 2020

2017
A modified two-part wolf pack search algorithm for the multiple traveling salesmen problem.
Appl. Soft Comput., 2017

Integral Backstepping Control for Quadrotor Helicopters.
Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017


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