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- extended-abstractMay 2024
Unifying Regret and State-Action Space Coverage for Effective Unsupervised Environment Design
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent SystemsPages 2507–2509Unsupervised Environment Design (UED) employs interactive training between a teacher agent and a student agent to train generally-capable student agents. Existing UED methods primarily rely on regret to progressively introduce curriculum complexity for ...