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Found 4 papers, 0 papers with code
Deep Learning of Koopman Representation for Control
The OpenAI Gym environment, employed for Reinforcement Learning-based control design, is used for data generation and learning of Koopman operator in control setting.
Cell A* for Navigation of Unmanned Aerial Vehicles in Partially-known Environments
Proper path planning is the first step of robust and efficient autonomous navigation for mobile robots.
Robotics Systems and Control Systems and Control
Data Driven Control with Learned Dynamics: Model-Based versus Model-Free Approach
From the results of the experiments, we compare these two methods in terms of control strategies and the effectiveness under various initialization conditions.
Automated Testing for Deep Learning Systems with Differential Behavior Criteria
By observing differential behaviors from three pre-trained models during each testing iteration, the input image that triggered erroneous feedback was registered as a corner-case.
