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 ...
This project implements an intelligent traffic signal controller using Proximal Policy Optimization (PPO), a state-of-the-art deep reinforcement learning algorithm. The system intelligently manages ...
Abstract: To address high dynamics, strong uncertainty, and decision-dimensional explosion in air combat, this paper constructs a PPO-based hierarchical tactical decision-making algorithm (PHT-PPO) ...
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