safe learning

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics NeurIPS 2024 Safe learning in nonlinear model predictive control L4DC 2024 Safe Multi-View Deep Classification AAAI 2023 Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm ICML 2022 Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints ICML 2022 Contraction L1-Adaptive Control using Gaussian Processes L4DC 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety L4DC 2021 Safely Learning Dynamical Systems from Short Trajectories L4DC 2021 Sample-Specific Output Constraints for Neural Networks AAAI 2021 Learning from Interventions Using Hierarchical Policies for Safe Learning AAAI 2020 Safe non-smooth black-box optimization with application to policy search L4DC 2020 Learning Parametric Constraints in High Dimensions from Demonstrations CoRL 2019 Safe Partial Diagnosis from Normal Observations AAAI 2019 The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems CoRL 2018 Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret ICML 2015 Reducing Conservativeness in Safety Guarantees by Learning Disturbances Online: Iterated Guaranteed Safe Online Learning RSS 2012