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I asked GPT > https://arxiv.org/abs/2111.05803 https://arxiv.org/abs/2111.05803 make a good useful title that's not silly for this paper and wht's about I dunn
by tough 4y ago
I asked GPT
> https://arxiv.org/abs/2111.05803 https://arxiv.org/abs/2111.05803 make a good useful title that's not silly for this paper and wht's about
I dunno if it even read the article lols
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Title: “Deep Reinforcement Learning for Multi-Agent Navigation in Complex Environments”
This paper proposes a deep reinforcement learning approach for multi-agent navigation in complex environments. The proposed method uses a centralized critic and decentralized actor architecture, where each agent has its own policy network and learns from its local observations, while the critic network takes in the global state information to provide a centralized value estimate. The method is evaluated on a variety of benchmark environments and achieves state-of-the-art performance compared to existing methods.