It is often useful to perform integration over learned functions represe...
Graph Neural Network (GNN) architectures are defined by their implementa...
Real world applications of Reinforcement Learning (RL) are often partial...
The problem of permutation-invariant learning over set representations i...
While many multi-robot coordination problems can be solved optimally by ...
In multi-agent reinforcement learning, the use of a global objective is ...
Many multi-robot planning problems are burdened by the curse of
dimensio...
Recent work in the multi-agent domain has shown the promise of Graph Neu...