With the rapid advancement of electric vehicles and the widespread integration of artificial intelligence technology, the demands for enhanced comfort and stability in vehicle suspension systems have ...
In tactical communication networks, highly dynamic topologies and frequent data exchanges create complex spatiotemporal dependencies among link states. However, most existing intelligent routing ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
This project presents a comprehensive overview of building a simulation environment in Unity and applying the Proximal Policy Optimization (PPO) algorithm from Unity’s built-in ML-Agents toolkit. We ...
AliceeUL/Improving-Proximal-Policy-Optimization-for-Goal-reaching-Simulation-in-Unity-with-ML-Agents
Goal-reaching simulation in Unity by combining to use ML-Agents toolkit and Anaconda involves training an agent to navigate and interact with environments to reach predefined goal target. This task ...
School of Mechatronics and Automotive Engineering, Puyang Vocational and Technical College, Puyang, China Introduction: Parallel hybrid vehicles face challenges in real-time torque distribution, ...
Rasner Media CEO Reid Rasner on Thursday announced that he would no longer seek a bid to purchase the controversial social media app TikTok, citing concerns about national security in regards to China ...
ABSTRACT: This study introduces a novel simulation-based framework that integrates Agent-Based Modelling (ABM) with Reinforcement Learning (RL) to evaluate and optimize policies for mental health ...
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