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An integrated energy system scheduling method considering year-round load variations based on deep reinforcement learning

Neurochemical memory diversification towards liquid reinforcement learning

Learning-based cooperative decision-making and control for multiple autonomous vehicles in unsignalized intersections

Stackelberg game-based anti-disturbance control for unmanned surface vessels via integrative reinforcement learning

Improved DDPG algorithm-based path planning for unmanned surface vehicles

Enhancing unmanned aerial vehicle communication through distributed ledger and multi-agent deep reinforcement learning for fairness and scalability

Introduction to discrete-time reinforcement learning control in Complex Engineering Systems

A collaborative siege method of multiple unmanned vehicles based on reinforcement learning

Reinforcement learning-based optimal adaptive fuzzy control for nonlinear multi-agent systems with prescribed performance

Multi-objective scheduling in dynamic of household paper workshop considering energy consumption in production process

A distributed multi-vehicle pursuit scheme: generative multi-adversarial reinforcement learning

Reinforcement learning methods for network-based transfer parameter selection