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 ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

For autonomous mobile robots to operate effectively in human environments, navigation must extend beyond obstacle avoidance to incorporate social awareness. Safe and fluid interaction in shared spaces ...

With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly, exactly the way you want it.’ With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly ...

The rapid growth of AI is projected to push global data center power demand to 2,200 terawatt-hours (TWh) by 2030, an "always-on" load that threatens to overwhelm the world's aging electrical grids.

Abstract: This research presents an ensemble Reinforcement Learning (RL) approach that combines Deep Q-Network (DQN) and Proximal Policy Optimization (PPO) algorithms to tackle quantum control ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

WASHINGTON, Oct 16 (Reuters) - The chair of the House Select Committee on China said Thursday that a licensing agreement for use of the TikTok algorithm, as part of a deal by China-based ByteDance to ...

Inner Mongolia Electric Power Dispatching and Control Branch, Inner Mongolia Power (Group) Co., Ltd., Hohhot, China Rapid load ramping in coal-fired power plants with high renewable energy integration ...

Russia will be able to deploy members of its active reserve to fight in Ukraine under new amendments backed by the Defense Ministry. The proposed changes comes as Russia continues to suffer massive ...