Papers Multi-Objective Multi-Agent Reinforcement Learning
“Multi-Objective Multi-Agent Reinforcement Learning” 태그가 달린 논문 4편 · 필터 해제
Sequential Multi-objective Multi-agent Reinforcement Learning Approach for Predictive Maintenance
Existing predictive maintenance (PdM) methods typically focus solely on whether to replace system components without considering the costs incurred by inspection. However, a well-considered approach should be able to min…
Multi-agent Reinforcement LearningMulti-Objective Multi-Agent Reinforcement Learningquantile regressionMOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning
Many challenging tasks such as managing traffic systems, electricity grids, or supply chains involve complex decision-making processes that must balance multiple conflicting objectives and coordinate the actions of vario…
BenchmarkingDecision MakingMulti-agent Reinforcement LearningMulti-Objective Multi-Agent Reinforcement Learning+3Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
The Intelligent Transportation System (ITS) environment is known to be dynamic and distributed, where participants (vehicle users, operators, etc.) have multiple, changing and possibly conflicting objectives. Although Re…
Cloud ComputingFew-Shot LearningMulti-agent Reinforcement LearningMulti-Objective Multi-Agent Reinforcement Learning+3Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Electric Vehicle (EV) has become a preferable choice in the modern transportation system due to its environmental and energy sustainability. However, in many large cities, EV drivers often fail to find the proper spots f…
Deep Reinforcement LearningMulti-agent Reinforcement LearningMulti-Objective Multi-Agent Reinforcement Learningreinforcement-learning+2