Constrained Multi-Agent Reinforcement Learning in Imagination
In controlled tests on one task per benchmark, pricing the model's cost advantages at parity more than halves a cost-blind learner's cost and meets a tight continuous-control limit the learned multiplier misses, suggesting the model's cost estimates are not the bottleneck.
Raz Shmueli, Shahaf S. Shperberg
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