Alternatives and similar repositories for jax-f16:

Users that are interested in jax-f16 are comparing it to the libraries listed below

• UCSD-SASLab / HopfReachability
  Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…
  ☆18Updated 3 months ago
• neu-autonomy / nfl_veripy
  Formal Verification of Neural Feedback Loops (NFLs)
  ☆78Updated 5 months ago
• HJReachability / safety_rl
  ☆26Updated 3 years ago
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆21Updated last year
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆31Updated 2 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆24Updated 2 years ago
• unstable-zeros / learning-cbfs
  Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…
  ☆61Updated last year
• StanfordASL / AA203-Homework
  Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.
  ☆23Updated 9 months ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 3 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆26Updated 2 years ago
• StanfordASL / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆20Updated last year
• SafeRoboticsLab / safety_rl
  ☆23Updated 3 years ago
• nphamilton / stl-gym
  A tool for modifying reinforcement learning environments to incorporate Signal Temporal Logic (STL) specifications in the reward function…
  ☆9Updated 2 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆69Updated 4 years ago
• eivindeb / gym-letMPC
  ☆15Updated 2 years ago
• MIT-REALM / macbf
  Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
  ☆73Updated last year
• mit-ll-trusted-autonomy / cbfToolbox
  A Python package to make implementing control barrier functions (CBFs) and control Lyapunov functions (CLFs) simple.
  ☆17Updated 9 months ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆60Updated 3 years ago
• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆35Updated 2 years ago
• MIT-REALM / gcbf-pytorch
  PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…
  ☆28Updated 8 months ago
• MIT-REALM / sablas
  ☆17Updated 3 years ago
• milutter / value_iteration
  ☆14Updated last year
• MIT-REALM / gcbfplus
  Jax Official Implementation of T-RO Paper: Songyuan Zhang*, Oswin So*, Kunal Garg, Chuchu Fan: "GCBF+: A Neural Graph Control Barrier Fun…
  ☆52Updated 2 weeks ago
• sliu2019 / input_limit_cbf
  ☆17Updated 2 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆38Updated 5 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆52Updated 3 years ago
• dawsonc / jax_controls_tutorial
  A brief JAX tutorial with examples from control theory
  ☆12Updated 2 years ago
• AstroHiro / ncm
  Codes for designing Neural Contraction Metrics (NCMs)
  ☆32Updated 4 years ago
• ajthor / socks
  Stochastic Optimal Control and Reachability Toolbox Written in Python
  ☆13Updated last year