4 citations · 12 across the 8 of their papers we have counts for
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cs.AI2020
Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
Jarrett Holtz, Arjun Guha, Joydeep Biswas
Action selection policies (ASPs), used to compose low-level robot skills into complex high-level tasks are commonly represented as neural networks (NNs) in the state of the art. Su…
cs.AI2020
Learning to Optimize Autonomy in Competence-Aware Systems
Connor Basich, Justin Svegliato, Kyle Hollins Wray +3
Interest in semi-autonomous systems (SAS) is growing rapidly as a paradigm to deploy autonomous systems in domains that require occasional reliance on humans. This paradigm allows…