Abstract: This article proposes a distributed multiagent formation control framework, ensuring rigorous safety and solely relying on range-only measurements. To address the challenge of rigid ...

Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...

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Stay in flow with Auto Claude using multi-terminal tools and session restore, so you run tests and pick up where you left off ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...