Cover Image

Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ganai, Milan, Gao, Sicun, Herbert, Sylvia
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Patching Approximately Safe Value Functions Leveraging Local Hamilton-Jacobi Reachability Analysis
by: Tonkens, Sander, et al.
Published: (2023)

Robust Verification of Controllers under State Uncertainty via Hamilton-Jacobi Reachability Analysis
by: Lin, Albert, et al.
Published: (2025)

Hamilton--Jacobi Reachability for Spacecraft Collision Avoidance
by: Hui, Larry, et al.
Published: (2026)

On Safety and Liveness Filtering Using Hamilton-Jacobi Reachability Analysis
by: Borquez, Javier, et al.
Published: (2023)

Koopman-Hopf Hamilton-Jacobi Reachability and Control
by: Sharpless, Will, et al.
Published: (2023)

Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning
by: Chen, Qingyi, et al.
Published: (2025)

Hamilton-Jacobi Reachability Analysis for Hybrid Systems with Controlled and Forced Transitions
by: Borquez, Javier, et al.
Published: (2023)

Contingency-Aware Planning via Certified Neural Hamilton-Jacobi Reachability
by: Muenprasitivej, Kasidit, et al.
Published: (2026)

Conservative Linear Envelopes for Nonlinear, High-Dimensional, Hamilton-Jacobi Reachability
by: Sharpless, Will, et al.
Published: (2024)

Threshold Strategy for Leaking Corner-Free Hamilton-Jacobi Reachability with Decomposed Computations
by: He, Chong, et al.
Published: (2025)

Guaranteed Completion of Complex Tasks via Temporal Logic Trees and Hamilton-Jacobi Reachability
by: Jiang, Frank J., et al.
Published: (2024)

Convex Hulls of Reachable Sets
by: Lew, Thomas, et al.
Published: (2023)

State-Augmented Linear Games with Antagonistic Error for High-Dimensional, Nonlinear Hamilton-Jacobi Reachability
by: Sharpless, Will, et al.
Published: (2024)

Safe and Performant Deployment of Autonomous Systems via Model Predictive Control and Hamilton-Jacobi Reachability Analysis
by: Wang, Hao, et al.
Published: (2025)

NeuroHJR: Hamilton-Jacobi Reachability-based Obstacle Avoidance in Complex Environments with Physics-Informed Neural Networks
by: Halder, Granthik, et al.
Published: (2025)

DualGuard MPPI: Safe and Performant Optimal Control by Combining Sampling-Based MPC and Hamilton-Jacobi Reachability
by: Borquez, Javier, et al.
Published: (2025)

Unifying Hamilton-Jacobi Reachability and Reinforcement Learning
by: Solanki, Prashant, et al.
Published: (2026)

Gait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link Walker
by: Xia, Xingpeng, et al.
Published: (2024)

Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis
by: Hafez, Ahmad, et al.
Published: (2025)

Approximate Hamilton-Jacobi Reachability Analysis for a Class of Two-Timescale Systems, with Application to Biological Models
by: Hirsch, Dylan, et al.
Published: (2025)

Mollification Effects of Policy Gradient Methods
by: Wang, Tao, et al.
Published: (2024)

Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
by: Guerrier, Maeva, et al.
Published: (2024)

Viscosity CBFs: Bridging the Control Barrier Function and Hamilton-Jacobi Reachability Frameworks in Safe Control Theory
by: Hirsch, Dylan, et al.
Published: (2025)

Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
by: Shen, Keyi, et al.
Published: (2026)

Certifying Hamilton-Jacobi Reachability Learned via Reinforcement Learning
by: Solanki, Prashant, et al.
Published: (2026)

Safe Reinforcement Learning with Minimal Supervision
by: Quessy, Alexander, et al.
Published: (2025)

Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems
by: Vincent, Joseph A., et al.
Published: (2022)

SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey
by: Seo, Joohwan, et al.
Published: (2025)

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
by: Jonnarth, Arvi, et al.
Published: (2023)

Active Alignments of Lens Systems with Reinforcement Learning
by: Burkhardt, Matthias, et al.
Published: (2025)

Off Policy Lyapunov Stability in Reinforcement Learning
by: Gill, Sarvan, et al.
Published: (2025)

Provably Optimal Reinforcement Learning under Safety Filtering
by: Oh, Donggeon David, et al.
Published: (2025)

ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller
by: Lin, Haoxin, et al.
Published: (2026)

Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter Control
by: Timmerman, Mike, et al.
Published: (2024)

Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning
by: Giammarino, Vittorio, et al.
Published: (2025)

Constraint-Aware Reinforcement Learning via Adaptive Action Scaling
by: Dawood, Murad, et al.
Published: (2025)

Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
by: Taheri, Hamid, et al.
Published: (2024)

Training Verifiably Robust Agents Using Set-Based Reinforcement Learning
by: Wendl, Manuel, et al.
Published: (2024)

LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning
by: Jian, Pingcheng, et al.
Published: (2025)

Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
by: Bøhn, Eivind, et al.
Published: (2021)