Xiaolin Ai

Orcid: 0000-0001-7943-8336

According to our database1, Xiaolin Ai authored at least 22 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Enhancing Reinforcement Learning Fine-Tuning with an Online Refiner.
CoRR, March, 2026

Efficient Soft Actor-Critic with LLM-Based Action-Level Guidance for Continuous Control.
CoRR, March, 2026

2025
Hybrid Actor-Critic for Physically Heterogeneous Multiagent Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst., December, 2025

Co-Opetition Network-Based Group Decision-Making Under Incomplete Information.
IEEE Trans. Syst. Man Cybern. Syst., May, 2025

A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
An Affine-Based Maneuver Control Method for Multi-Agent Cooperative Transportation System Over Switching Formations.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Measuring Policy Distance for Multi-Agent Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 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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