Robotics & Machine Learning Daily News2024,Issue(Oct.14) :72-73.

Study Findings on Intelligent Systems Are Outlined in Reports from Henan Univers ity (Cooperative Multi-agent Target Searching: a Deep Reinforcement Learning App roach Based On Parallel Hindsight Experience Replay)

Robotics & Machine Learning Daily News2024,Issue(Oct.14) :72-73.

Study Findings on Intelligent Systems Are Outlined in Reports from Henan Univers ity (Cooperative Multi-agent Target Searching: a Deep Reinforcement Learning App roach Based On Parallel Hindsight Experience Replay)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing - Intelligent Systems. According to news originating from Zhengzhou, People’ s Republic of China, by NewsRx correspondents, research stated, “Multi-agent mul ti-target search strategies can be utilized in complex scenarios such as post-di saster search and rescue by unmanned aerial vehicles. To solve the problem of fi xed target and trajectory, the current multi-agent multi-target search strategie s are mainly based on deep reinforcement learning (DRL).” Funders for this research include National Natural Science Foundation of China ( NSFC), Program for Science & Technology Development of Henan Provi nce, Young Elite Scientist Sponsorship Program by Henan Association for Science and Technology.

Key words

Zhengzhou/People’s Republic of China/A sia/Intelligent Systems/Algorithms/Emerging Technologies/Machine Learning/R einforcement Learning/Henan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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