Abstract: Conventional real-time scheduling methods for embedded operating systems primarily employ SCHED_FIFO and time-slice round-robin algorithms to acquire task resource features. However, their ...
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 ...
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