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 ...
Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...
Abstract: Electromagnetic transient (EMT) simulation is increasingly important for complex power electronic converter system design and validation. This paper proposes an adaptive-grained exponential ...
The simulation hypothesis—the idea that our universe might be an artificial construct running on some advanced alien computer—has long captured the public imagination. Yet most arguments about it rest ...
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