Alternatives and similar repositories for Learning-from-Directional-Corrections

Users that are interested in Learning-from-Directional-Corrections are comparing it to the libraries listed below

• wanxinjin / Learning-from-Sparse-Demonstrations
  A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations…
  ☆23Updated 2 years ago
• shaoanlu / diffusion_policy_quadrotor
  A simple demo of imitation learning based on diffusion policy for quadrotor control
  ☆24Updated 8 months ago
• tud-amr / mppi_torch
  ☆28Updated 11 months ago
• krishanrana / bcf
  [NeurIPS 2021 DDM Workshop] A hybrid control strategy for combining deep RL and classical robotic controllers
  ☆38Updated 2 years ago
• Yurof / WheeledRobotSimulations
  Learning and generalization on a navigation task of a wheeled robot
  ☆12Updated 4 years ago
• jisacks / dmpo
  Code for the paper "Deep Model Predictive Optimization"
  ☆25Updated last year
• rperezdattari / Stable-Motion-Primitives-via-Imitation-and-Contrastive-Learning
  Code accompanying the paper: "Stable Motion Primitives via Imitation and Contrastive Learning" (T-RO).
  ☆25Updated last year
• EdmundLuan / CLF_CBF_NMPC_python
  This is an unofficial python implement of nonlinear model predictive control with control Lyapunov functions and control barrier function…
  ☆37Updated 3 years ago
• manish-pra / sagempc
  Safe guaranteed exploration for non-linear systems
  ☆18Updated last year
• safe-dressing / safe_mpc_rss21
  ☆10Updated 3 years ago
• HJReachability / safety_rl
  ☆27Updated 3 years ago
• jasour / Non-Gaussian_Risk-Bounded_TrajOpt
  Non-Gaussian Risk Bounded Trajectory Optimization for StochasticNonlinear Systems in Uncertain Environments
  ☆33Updated 3 years ago
• asbroad / mpmi_shared_control
  ☆12Updated 6 years ago
• dtch1997 / rl_cbf
  Code accompanying "Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory"
  ☆28Updated last year
• mhmukadam / dgpmp2
  Differentiable Gaussian Process Motion Planning
  ☆51Updated 3 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆56Updated 3 years ago
• LeeLinJun / mpc-mpnet-py
  ☆52Updated 3 years ago
• Space-Robotics-Laboratory / rlstar
  RL STaR is a platform for creating AI for robotic applications. Researchers can share their work in the form of new robots or new tasks. …
  ☆31Updated 4 years ago
• Rory-WeiCheng / ESE-619-Model-Predictive-Control
  Lecture Slides, Personal Notes, Homework Solutions and Codes for ESE 619: Model Predictive Control 2023 Spring @ UPenn
  ☆42Updated last year
• vincekurtz / ltl_gcs
  Linear Temporal Logic Motion Planning with Graphs of Convex Sets
  ☆45Updated last year
• MurpheyLab / ergodic-control-sandbox
  (T-RO, ICRA 2024) Tutorials on ergodic control and more
  ☆39Updated 2 months ago
• rdyro / mpcjax
  A JAX library for Sequential Convex Programming (SCP) Model Predictive Control (MPC) path planning
  ☆21Updated last year
• uiuc-iml / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆43Updated last year
• StanfordASL / RiskAverseTrajOpt
  Risk-averse trajectory optimization
  ☆17Updated last year
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆23Updated 2 years ago
• abajcsy / vision-based-pursuit
  ☆23Updated last year
• KevinHuang8 / DATT
  Repo for paper DATT: Deep Adaptive Trajectory Tracking for Quadrotor Drones
  ☆54Updated last year
• BolunDai0216 / DifferentiableOptimizationCBF
  [IEEE RA-L 2023] Official Implementation of Safe Navigation and Obstacle Avoidance Using Differentiable Optimization Based Control Barrie…
  ☆30Updated 2 months ago
• anindex / mpot
  Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
  ☆58Updated last year
• LeCAR-Lab / CoVO-MPC
  Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4…
  ☆127Updated last year