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Yali Du

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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