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Learning in Congestion Games with Bandit Feedback
Neural Information Processing Systems
To help address these issues, a natural approach is to consider games with special structures. In this paper, we focus on congestion games.
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Human-AI Shared Control via Policy Dissection
Neural Information Processing Systems
Human-AI shared control allows human to interact and collaborate with autonomous agents to accomplish control tasks in complex environments.
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K-level Reasoning for Zero-Shot Coordination in Hanabi
Neural Information Processing Systems
Work done while at Facebook AI Research 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Figure 1: Visualization of various hierarchical training schemas, including sequential KLR, synchronous KLR, synchronous CH, and our new SyKLRBR for 4 levels.
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