Nash-MADDPG combines Nash bargaining with MADDPG to coordinate V2V energy trades, yielding 61.6% higher social welfare and 40.1% better Jain fairness than double auctions in 30-day simulations with 6-100 agents.
The bargaining problem
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Capacity expansion in coupled power-transportation systems can degrade performance in both due to new Braess' paradoxes, with necessary and sufficient conditions and charging pricing mitigation.
citing papers explorer
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Incentive-Aligned Vehicle-to-Vehicle Energy Trading via Nash-Integrated Multi-Agent Reinforcement Learning
Nash-MADDPG combines Nash bargaining with MADDPG to coordinate V2V energy trades, yielding 61.6% higher social welfare and 40.1% better Jain fairness than double auctions in 30-day simulations with 6-100 agents.
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Braess' Paradoxes in Coupled Power and Transportation Systems
Capacity expansion in coupled power-transportation systems can degrade performance in both due to new Braess' paradoxes, with necessary and sufficient conditions and charging pricing mitigation.