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DataFunTalk
DataFunTalk
Mar 20, 2019 · Artificial Intelligence

Addressing Sparse Reward Problems in Model-Free Reinforcement Learning

This article reviews the challenges of model‑free reinforcement learning, especially sparse reward issues exemplified by Montezuma’s Revenge, and surveys recent approaches such as expert demonstrations, curriculum learning, self‑play, hierarchical reinforcement learning, and count‑based exploration to mitigate these problems.

curriculum learningexplorationhierarchical RL
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Addressing Sparse Reward Problems in Model-Free Reinforcement Learning