Before revision:  Our GNN policies are trained using very few expert demonstrations on simple tasks, and exhibits generalization over number and configurations of objects in the environment and even to new, more complex tasks, and provide interpretable explanations for their decision-making.
After revision:  Our GNN policies are trained using very few expert demonstrations on simple tasks, and exhibit generalization over number and configurations of objects in the environment and even to new, more complex tasks, and provide interpretable explanations for their decision-making.