Time(ms) and KFLOPs savings of multi-agents tasks.

Time(ms) and KFLOPs savings of multi-agents tasks.

<p>Time(ms) and KFLOPs savings of multi-agents tasks.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Hongjie Zhang (136127) (author)
مؤلفون آخرون: Zhenyu Chen (2359471) (author), Hourui Deng (20685396) (author), Chaosheng Feng (20685399) (author)
منشور في: 2025
الموضوعات:
Medicine
Biotechnology
Sociology
Developmental Biology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
state skipping branch
h ?\ rlkey
h ?% 5crlkey
establish optimization objectives
deep reinforcement learning
achieved significant success
high computational cost
div >< p
algorithm significantly reduces
computational cost
utilize pre
tuning techniques
practical application
policies based
minimal impact
mappo frameworks
making tasks
making patterns
linear increase
lazy actor
involve reasoning
human decision
flops required
decision made
continuous decision
complex decision
complete tasks
approximately 80
actor network
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