FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...

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 ...

Greenhouse vegetable production was a complex agricultural system influenced by multiple interrelated environmental and management factors. Its irrigation control was a critical but not singularly ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

1 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia 2 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia Humanitarian aid ...

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 uses reinforcement learning techniques to optimize home energy management systems, enabling intelligent energy scheduling and cost optimization. It supports multiple advanced RL ...