9 citations · 9 across the 2 of their papers we have counts for
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cs.AI2018
Learning High-level Representations from Demonstrations
Garrett Andersen, Peter Vrancx, Haitham Bou-Ammar
Hierarchical learning (HL) is key to solving complex sequential decision problems with long horizons and sparse rewards. It allows learning agents to break-up large problems into s…
cs.AI2017★ 9 cited
Active Exploration for Learning Symbolic Representations
Garrett Andersen, George Konidaris
We introduce an online active exploration algorithm for data-efficiently learning an abstract symbolic model of an environment. Our algorithm is divided into two parts: the first p…