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On-the-fly Strategy Adaptation for ad-hoc Agent Coordination
Training agents in cooperative settings offers the promise of AI agents able to interact effectively with humans (and other agents) in the real world.
Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)
Generative Adversarial Networks (GANs) have gained significant attention in recent years, with impressive applications highlighted in computer vision in particular.
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