4 citations · 12 across the 9 of their papers we have counts for
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cs.LG2023
Enhancing the Hierarchical Environment Design via Generative Trajectory Modeling
Dexun Li, Pradeep Varakantham
Unsupervised Environment Design (UED) is a paradigm for automatically generating a curriculum of training environments, enabling agents trained in these environments to develop gen…
cs.AI2023★ 2 cited
Diversity Induced Environment Design via Self-Play
Dexun Li, Wenjun Li, Pradeep Varakantham
Recent work on designing an appropriate distribution of environments has shown promise for training effective generally capable agents. Its success is partly because of a form of a…
cs.AI2023★ 2 cited
Generalization through Diversity: Improving Unsupervised Environment Design
Wenjun Li, Pradeep Varakantham, Dexun Li
Agent decision making using Reinforcement Learning (RL) heavily relies on either a model or simulator of the environment (e.g., moving in an 8x8 maze with three rooms, playing Ches…