most citedMulti-agent Reinforcement Learning Embedded Game for the Optimization of Building Energy Control and Power System Planning

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CY2019★ 6 cited

Multi-agent Reinforcement Learning Embedded Game for the Optimization of Building Energy Control and Power System Planning

Jun Hao

Most of the current game-theoretic demand-side management methods focus primarily on the scheduling of home appliances, and the related numerical experiments are analyzed under var…