301 citations · 439 across the 27 of their papers we have counts for
Showing 2023 · cs.AIShow all
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cs.AI2023
Learning Curricula in Open-Ended Worlds
Minqi Jiang
Deep reinforcement learning (RL) provides powerful methods for training optimal sequential decision-making agents. As collecting real-world interactions can entail additional costs…
cs.AI2023★ 1 cited
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Mikael Henaff, Minqi Jiang, Roberta Raileanu
Exploration in environments which differ across episodes has received increasing attention in recent years. Current methods use some combination of global novelty bonuses, computed…