Bio
Ryan’s work focuses on multi-agent reinforcement learning. He is interested in the credit assignment problem, new graph neural network architectures and explainability (applying symbolic regression to multi-agent systems).
Ryan’s work focuses on multi-agent reinforcement learning. He is interested in the credit assignment problem, new graph neural network architectures and explainability (applying symbolic regression to multi-agent systems).