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Yali Du

Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modeling Using Large Language Models
Rat: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
Efficient and Scalable Reinforcement Learning for Large-Scale Network Control
Off-Agent Trust Region Policy Optimization
STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning
Safe Multi-agent Reinforcement Learning for Multi-robot Control
Is Nash Equilibrium Approximator Learnable?
Contextual Transformer for Offline Meta Reinforcement Learning
Scalable Model-based Policy Optimization for Decentralized Networked Systems
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning

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