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2011.02082
Cited By
DeepReach: A Deep Learning Approach to High-Dimensional Reachability
4 November 2020
Somil Bansal
Claire Tomlin
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Papers citing
"DeepReach: A Deep Learning Approach to High-Dimensional Reachability"
45 / 95 papers shown
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Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training
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Enhancing the Performance of DeepReach on High-Dimensional Systems through Optimizing Activation Functions
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On Safety and Liveness Filtering Using Hamilton-Jacobi Reachability Analysis
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Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction
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325
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Value Approximation for Two-Player General-Sum Differential Games with State Constraints
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Mukesh Ghimire
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Zhenni Xu
Yi Ren
270
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28 Nov 2023
Bridging Dimensions: Confident Reachability for High-Dimensional Controllers
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Jake Brandon Baldauf
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08 Nov 2023
Solving Two-Player General-Sum Games Between Swarms
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Lei Zhang
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191
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Iterative Reachability Estimation for Safe Reinforcement Learning
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Zheng Gong
Chenning Yu
Sylvia Herbert
Sicun Gao
205
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Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers
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Kaustav Chakraborty
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Hamilton-Jacobi Reachability Analysis for Hybrid Systems with Controlled and Forced Transitions
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Shuang Peng
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208
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Continuous-time control synthesis under nested signal temporal logic specifications
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Xiao Tan
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136
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Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
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Andrea V. Bajcsy
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Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks
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Xinling Yu
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Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition
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171
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Learning optimal controllers: a dynamical motion primitive approach
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Hugo Tadashi M. Kussaba
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Neural Lyapunov and Optimal Control
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Deep Model Predictive Control
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266
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Neural Optimal Control using Learned System Dynamics
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Trajectories for the Optimal Collection of Information
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David Grimsman
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Jason R. Marden
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ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
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Kai Hsu
D. Nguyen
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236
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Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis
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Kaustav Chakraborty
Somil Bansal
306
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04 Nov 2022
Learning Autonomous Vehicle Safety Concepts from Demonstrations
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Sushant Veer
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138
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Online Update of Safety Assurances Using Confidence-Based Predictions
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Kensuke Nakamura
Somil Bansal
316
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Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online
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Javier Borquez
Kensuke Nakamura
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159
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29 Sep 2022
Generating Formal Safety Assurances for High-Dimensional Reachability
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215
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Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning
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Zeng Qiu
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162
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Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers
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Ju Han
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251
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TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing
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Reachability Constrained Reinforcement Learning
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Dongjie Yu
Haitong Ma
Sheng Li
Jianyu Chen
254
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Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
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Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning
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Donggun Lee
Somayeh Sojoudi
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230
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18 Mar 2022
Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots
IEEE Robotics and Automation Letters (RA-L), 2022
Jason J. Choi
Ayush Agrawal
Koushil Sreenath
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Somil Bansal
135
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SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems
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Tingwei Meng
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Jérome Darbon
George Karniadakis
165
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Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
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Comparison between safety methods control barrier function vs. reachability analysis
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