Alternatives and similar repositories for SafeOpt

Users that are interested in SafeOpt are comparing it to the libraries listed below

• befelix / safe_learning
  Safe reinforcement learning with stability guarantees
  ☆232Updated 3 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆89Updated 4 years ago
• locuslab / differentiable-mpc
  ☆291Updated 2 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 3 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆134Updated 4 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 4 years ago
• UCL-SML / pilco-matlab
  PILCO policy search framework (Matlab version)
  ☆72Updated 7 years ago
• nrontsis / PILCO
  Bayesian Reinforcement Learning in Tensorflow
  ☆331Updated 4 years ago
• befelix / SafeMDP
  Safe exploration in Markov Decision Processes
  ☆37Updated 7 years ago
• wanxinjin / Pontryagin-Differentiable-Programming
  A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…
  ☆176Updated last year
• neka-nat / ddp-gym
  Differential Dynamic Programming controller operating in OpenAI Gym environment.
  ☆87Updated 5 years ago
• hanyas / trajopt
  A toolbox for trajectory optimization of dynamical systems
  ☆53Updated 3 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆58Updated 4 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 5 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆81Updated 4 years ago
• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆84Updated 2 years ago
• neu-autonomy / nfl_veripy
  Formal Verification of Neural Feedback Loops (NFLs)
  ☆79Updated 10 months ago
• ferreirafabio / mppi_pendulum
  The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…
  ☆99Updated this week
• HJReachability / beacls
  ☆40Updated 2 months ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆141Updated 2 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated last year
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago
• befelix / Safe-RL-Benchmark
  A library to benchmark reinforcement learning algorithms
  ☆21Updated 7 years ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆41Updated 2 years ago
• StanfordASL / stlcg
  ☆71Updated last year
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• StanfordASL / AA203-Notes
  Course notes for AA203
  ☆149Updated 5 years ago
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆38Updated 4 years ago