Alternatives and similar repositories for stochastic_dynamics

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

• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆46Updated 3 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆26Updated 2 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 4 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆38Updated 2 years ago
• aravindsrinivas / neural-mpc
  ☆72Updated 4 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆53Updated 4 years ago
• ArmaanSethi / Hindsight-Experience-Replay-and-Hierarchical-Reinforcement-Learning
  Comp 781 Project
  ☆9Updated 6 years ago
• manish-pra / copg
  This repository contains all code and experiments for competitive policy gradient (CoPG) algorithm.
  ☆24Updated 4 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆33Updated last year
• fouratifares / ECP
  Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
  ☆15Updated this week
• kchua / mbrl-jax
  MBRL library in JAX
  ☆10Updated 2 years ago
• sebascuri / hucrl
  ☆30Updated last year
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆18Updated 2 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆69Updated 5 years ago
• darioizzo / neurostability
  The code used for the paper "On the stability analysis of optimal state feedbacks as represented by deep neural models"
  ☆14Updated 5 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆25Updated 2 years ago
• johannesnauta / pytorch-pne
  PyTorch implementation of Probabilistic Network Ensembles on toy problems
  ☆23Updated 2 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆26Updated last year
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated 9 months ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆36Updated 2 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 3 years ago
• StanfordASL / BaRC
  Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…
  ☆12Updated 6 years ago
• jaztsong / PILCO-gpytorch
  ☆35Updated 5 years ago
• natolambert / dynamicslearn
  Working directory for dynamics learning for experimental robots.
  ☆56Updated 4 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆23Updated last year