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 ...
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 ...
The US Naval Research Laboratory (NRL) has announced the successful test of reinforcement-learning (RL)-based autonomous robotic flight in space, using an ‘Astrobee’ zero-gravity robot stationed ...
In just three months, the crew of three young scientists overcame a swarm of challenges to achieve this groundbreaking advancement in robotic autonomy and space operations. “The APIARY team’s ...
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 ...
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