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Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning
With these techniques, we show that we can reduce communication by 75% with no loss of performance.
Generalization to Novel Objects using Prior Relational Knowledge
To solve tasks in new environments involving objects unseen during training, agents must reason over prior information about those objects and their relations.
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