A modular, cross-platform Proximal Policy Optimization (PPO) implementation that can be integrated into JavaScript SPAs, Node.js apps, Unity 3D games, Python applications, and more. The system uses a ...
Synaptic plasticity underlies adaptive learning in neural systems, offering a biologically plausible framework for reward-driven learning. However, a question remains ...
Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.
ABSTRACT: The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical ...
To support hospitals and specialists around the world in meeting their safety standards requirements, the IAEA has produced a series of video tutorials on quality and dosimetry aspects of computed ...
Abstract: Most renewable energy power systems are created to provide more resilient, reliable, economical, sustainable and secure power support services for loads. However, owing to the inherent ...
State Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi’an 710072, China School of Material Science and Engineering, Northwestern Polytechnical University, Xi’an ...
Introduction: With the intensification of population aging and the diversification of medical demands, China's healthcare system faces dual challenges of ensuring public welfare and improving ...
This project implements a Proximal Policy Optimization (PPO) algorithm to train agents in OpenAI Gym environments. It includes modular support for environment configuration, checkpointing, and ...
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