Research map / Multi-agent systems and games / Cooperative multi-agent RL
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use continuous multiagent PPO instead of discrete-action MA2C | Microgrid energy management · Microgrid test set | Operating Cost: -87,632 ($) -> -74,437 ($) | Helped |
| Use continuous PPO instead of discrete-action DQN | Microgrid energy management · Microgrid test set | Operating Cost: -113,674 ($) -> -97,683 ($) | Helped |
| Add multiagent collective behavior to continuous PPO | PPO · Microgrid test set | Operating Cost: -97,683 ($) -> -74,437 ($) | Helped |
| Add predictive market behavior modeling | MPPO · Microgrid test set | Operating Cost: -74,437 ($) -> -67,372 ($) | Helped |
| Add predictive market behavior modeling | MA2C · Microgrid test set | Operating Cost: -87,632 ($) -> -80,922 ($) | Helped |
| Add collective behavior entropy reward shaping | PRE-MPPO · Microgrid test set | Daily Peak Load mean: 1432.58 -> 876.28 | Helped |
| Add collective behavior entropy reward shaping | PRE-MPPO · Microgrid test set | Operating Cost: -67,372 ($) -> -74,559 ($) | Hurt |
| Add collective behavior entropy reward shaping | MA2C · Microgrid test set | Daily Peak Load mean: 1359.94 -> 838.25 | Helped |
| Add individual entropy reward shaping | MA2C · Microgrid test set | Daily Peak Load mean: 1359.94 -> 1194.83 | Helped |
| Use individual entropy rather than no entropy shaping | MA2C · Microgrid test set | Operating Cost: -87,632 ($) -> -88,351 ($) | Hurt |
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- WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control (NeurIPS 2024 · similarity 0.82)
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- Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems (NeurIPS 2026 · similarity 0.81)
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