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Research map / Multi-agent systems and games / Cooperative multi-agent RL

Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management

AAAI 2020 · Multi-agent systems and games › Cooperative multi-agent RL · approach: MARL benchmarks and grouping · 15 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use continuous multiagent PPO instead of discrete-action MA2CMicrogrid energy management · Microgrid test setOperating Cost: -87,632 ($) -> -74,437 ($)Helped
Use continuous PPO instead of discrete-action DQNMicrogrid energy management · Microgrid test setOperating Cost: -113,674 ($) -> -97,683 ($)Helped
Add multiagent collective behavior to continuous PPOPPO · Microgrid test setOperating Cost: -97,683 ($) -> -74,437 ($)Helped
Add predictive market behavior modelingMPPO · Microgrid test setOperating Cost: -74,437 ($) -> -67,372 ($)Helped
Add predictive market behavior modelingMA2C · Microgrid test setOperating Cost: -87,632 ($) -> -80,922 ($)Helped
Add collective behavior entropy reward shapingPRE-MPPO · Microgrid test setDaily Peak Load mean: 1432.58 -> 876.28Helped
Add collective behavior entropy reward shapingPRE-MPPO · Microgrid test setOperating Cost: -67,372 ($) -> -74,559 ($)Hurt
Add collective behavior entropy reward shapingMA2C · Microgrid test setDaily Peak Load mean: 1359.94 -> 838.25Helped
Add individual entropy reward shapingMA2C · Microgrid test setDaily Peak Load mean: 1359.94 -> 1194.83Helped
Use individual entropy rather than no entropy shapingMA2C · Microgrid test setOperating Cost: -87,632 ($) -> -88,351 ($)Hurt

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