most citedRLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2019★ 2 cited

RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems

Ekaterina Abramova, Luke Dickens, Daniel Kuhn +1

Nonlinear optimal control problems are often solved with numerical methods that require knowledge of system's dynamics which may be difficult to infer, and that carry a large compu…