Alternatives and similar repositories for idoc

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

• madupite / madupite
  a High-Performance Distributed Solver for Large-Scale Markov Decision Processes (MDP) relying on Inexact Policy Iteration; for Python and…
  ☆26Updated 7 months ago
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆23Updated 2 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 4 years ago
• dawsonc / jax_controls_tutorial
  A brief JAX tutorial with examples from control theory
  ☆12Updated 3 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated 2 years ago
• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆85Updated 3 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆31Updated 2 years ago
• ivandariojr / LyapunovLearning
  ☆44Updated 2 years ago
• StanfordASL / SNDL
  Stabilizable Nonlinear Dynamics Learning
  ☆22Updated 6 years ago
• EthanJamesLew / koopmania
  a little library to help me with things involving Koopman operators
  ☆12Updated 3 years ago
• cvxgrp / diffqcp
  ☆19Updated last week
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 2 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 3 years ago
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆39Updated 5 years ago
• spenrich / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆16Updated 2 years ago
• stellatogrp / l2ws_qp
  ☆14Updated 2 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• google / trajax
  ☆227Updated 2 years ago
• google / deluca
  Performant, differentiable reinforcement learning
  ☆124Updated 3 months ago
• eleurent / phd-defense
  ☆43Updated 4 years ago
• facebookresearch / gwil
  Cross-Domain Imitation Learning via Optimal Transport
  ☆25Updated 3 years ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆37Updated 2 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• asrvsn / koopman-robust-control
  Uncertainty sets for nonlinear dynamical systems
  ☆10Updated 5 years ago
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• bjack205 / BilinearControl.jl
  ☆30Updated 2 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆27Updated 3 years ago
• kevinzakka / nanorl
  A tiny reinforcement learning codebase for continuous control, built on top of JAX.
  ☆15Updated 2 years ago
• EEA-sensors / parallel-non-linear-gaussian-smoothers
  Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
  ☆27Updated last year