Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation

1 code implementation • 30 Jan 2023 • Batuhan Altundas, Zheyuan Wang, Joshua Bishop, Matthew Gombolay

We propose a deep learning-based framework, called HybridNet, combining a heterogeneous graph-based encoder with a recurrent schedule propagator for scheduling stochastic human-robot teams under upper- and lower-bound temporal constraints.

Decision Making Graph Attention +1