mlsanityData to 14 Oct 2026

Model Free Barrier Functions via Implicit Evading Maneuvers

arXiv 2107.12871 ↗First posted 27 Jul 2021cs.LGcited by 3

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Abstract (arXiv)

This paper demonstrates that the safety override arising from the use of a barrier function can in some cases be needlessly restrictive. In particular, we examine the case of fixed-wing collision avoidance and show that when using a barrier function, there are cases where two fixed-wing aircraft can come closer to colliding than if there were no barrier function at all. In addition, we construct cases where the barrier function labels the system as unsafe even when the vehicles start arbitrarily far apart. In other words, the barrier function ensures safety but with unnecessary costs to performance. We therefore introduce model-free barrier functions which take a data driven approach to creating a barrier function. We demonstrate the effectiveness of model-free barrier functions in a collision avoidance simulation of two fixed-wing aircraft.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 13 of its 23 references that are in the map. First posted on arXiv 27 Jul 2021.

Builds on

13 of 23 references.

References · 13

  1. 2017Counterfactual Multi-Agent Policy Gradientscited by 751
  2. 2017Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuningcited by 297
  3. 2019End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Taskscited by 289
  4. 2016Control Barrier Function Based Quadratic Programs for Safety Critical Systemscited by 287
  5. 2020Learning Control Barrier Functions from Expert Demonstrationscited by 92
  6. 2021Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificatescited by 74
  7. 2020Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functionscited by 68
  8. 2017Safe Learning of Quadrotor Dynamics Using Barrier Certificatescited by 35
  9. 2020Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approachcited by 35
  10. 2021Model-based Constrained Reinforcement Learning using Generalized Control Barrier Functioncited by 32
  11. 2018Permissive Barrier Certificates for Safe Stabilization Using Sum-of-squarescited by 15
  12. 2021Learning Robust Hybrid Control Barrier Functions for Uncertain Systemscited by 14
1 more
  1. 2020Safety With Limited Range Sensing Constraints For Fixed Wing Aircraftcited by 2

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Cited by year

Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 2.

3 papers.