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Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

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Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

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Chat with Graph Search

Reconstructing lensless image with ML models and deploying them onto embedded systems

A deep learning method for the trajectory reconstruction of cosmic rays with the DAMPE mission

Alternation makes the adversary weaker in two-player games

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

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Scalable Multi-agent Coordination and Resource Sharing

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Real-time model calibration with deep reinforcement learning

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