9 citations · 11 across the 3 of their papers we have counts for
3 papers
Artificial Intelligence for Prosthetics - challenge solutions
Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty +47
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a giv…
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…
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…