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 ...
SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...
SAN FRANCISCO (Reuters) -IBM said on Friday it can run a key quantum computing error correction algorithm on commonly available chips from Advanced Micro Devices, a ...
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 ...
Battlefield 6 technical director Christian Buhl in an interview with Kotaku revealed the developers had trouble getting the game to run on the Xbox Series S, however, with optimization the game would ...
There is, generally speaking, universal praise for Borderlands 4 right now in the wake of its launch in terms of what it brings to the series. There is also, generally speaking, universal admission ...
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 ...
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