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.
Vehicle-to-vehicle en- ergy trading framework: A systematic literature review,
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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.