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LearningforControlI

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Paper List

  • Enforcing the Consensus between Trajectory Optimization and Policy Learning for Precise Robot Control [Abstract]

  • Neural Optimal Control Using Learned System Dynamics [Abstract]

  • Learned Risk Metric Maps for Kinodynamic Systems [Abstract]

  • Autonomous Drifting with 3 Minutes of Data Via Learned Tire Models [Abstract]

  • DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles [Abstract]

  • Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments [Abstract]

  • Dealing with Sparse Rewards in Continuous Control Robotics Via Heavy-Tailed Policy Optimization [Abstract]

  • MPC with Sensor-Based Online Cost Adaptation [Abstract]

  • ReachLipBnB: A Branch-And-Bound Method for Reachability Analysis of Neural Network Autonomous Systems Using Lipschitz Bounds [Abstract]

  • Gradient-Based Trajectory Optimization with Learned Dynamics [Abstract]

  • RAMP-Net: A Robust Adaptive MPC for Quadrotors Via Physics-Informed Neural Network [Abstract]