Abstract: This study combines the fuzzy logic and the data-driven technology to solve the reinforcement learning-based sliding mode control problem of interconnected nonlinear systems with unmodeled ...
Abstract: We propose a control method for mobile robots that improves navigation in complex environments by integrating the dynamic window approach (DWA) and reinforcement learning technique. The ...