Curious Hierarchical Actor-Critic Reinforcement Learning

7 May 2020Frank RöderManfred EppePhuong D. H. NguyenStefan Wermter

Hierarchical abstraction and curiosity-driven exploration are two common paradigms in current reinforcement learning approaches to break down difficult problems into a sequence of simpler ones and to overcome reward sparsity. However, there is a lack of approaches that combine these paradigms, and it is currently unknown whether curiosity also helps to perform the hierarchical abstraction... (read more)

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