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The Hard-Exploration Problem
The “hard-exploration” problem refers to exploration in an environment with very sparse or even deceptive reward. It is difficult because random exploration in such scenarios can rarely discover successful states or obtain meaningful feedback.
Xingdong Zuo
Machine Learning Engineer
My research interests include causal inference, counterfactual reasoning and model-based planning in reinforcement learning.