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cs.LG2024
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
Zhicheng Zhang, Yancheng Liang, Yi Wu +1
Multi-agent reinforcement learning (MARL) algorithms often struggle to find strategies close to Pareto optimal Nash Equilibrium, owing largely to the lack of efficient exploration.…
cs.LG2023★ 5 cited
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Yancheng Liang, Jiajie Zhang, Hui Li +6
Despite the tremendous advances achieved over the past years by deep learning techniques, the latest risk prediction models for industrial applications still rely on highly handtun…
cs.LG2021
A Benchmark for Low-Switching-Cost Reinforcement Learning
Shusheng Xu, Yancheng Liang, Yunfei Li +2
A ubiquitous requirement in many practical reinforcement learning (RL) applications, including medical treatment, recommendation system, education and robotics, is that the deploye…