Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...
Abstract: During emergency response in high-speed railway operations, dispatchers and drivers currently rely on individual experience for decision making, lacking effective coordination between train ...
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