Siying Wang

Orcid: 0000-0002-3180-0815

Affiliations:
  • University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China


According to our database1, Siying Wang authored at least 16 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Inhibiting Error Exacerbation in Offline Reinforcement Learning With Data Sparsity.
IEEE Trans. Neural Networks Learn. Syst., March, 2026

QuadQ: Quadratic-Based Value Decomposition for Cooperative Policy Optimization in Multi-Agent Reinforcement Learning.
IEEE CAA J. Autom. Sinica, March, 2026

Multi-agent contrastive exploration via value decomposition discrepancy.
Neural Networks, 2026

Double distillation network for multi-agent reinforcement learning.
Neurocomputing, 2026

2025
Toward Energy-Efficient Spike-Based Deep Reinforcement Learning With Temporal Coding.
IEEE Comput. Intell. Mag., May, 2025

Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning.
CoRR, February, 2025

Double Distillation Network for Multi-Agent Reinforcement Learning.
CoRR, February, 2025

Heterogeneous Value Decomposition Policy Fusion for Multi-Agent Cooperation.
CoRR, February, 2025

Sequence value decomposition transformer for cooperative multi-agent reinforcement learning.
Inf. Sci., 2025

2024
State Augmentation via Self-Supervision in Offline Multiagent Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst., June, 2024

QDAP: Downsizing adaptive policy for cooperative multi-agent reinforcement learning.
Knowl. Based Syst., 2024

Enhancing collaboration in multi-agent reinforcement learning with correlated trajectories.
Knowl. Based Syst., 2024

2023
Regularization-Adapted Anderson Acceleration for multi-agent reinforcement learning.
Knowl. Based Syst., 2023

2022
Abbreviated Weighted Graph in Multi-Agent Reinforcement Learning.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

2021
A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems.
Expert Syst. Appl., 2021

2019
Multiple Partitions Aligned Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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