Alternatives and similar repositories for archetype-computing-adaptive-system

Users that are interested in archetype-computing-adaptive-system are comparing it to the libraries listed below

• hanyas / sds
  A toolbox for inference of switching systems for control
  ☆12Updated 4 years ago
• borea17 / efficient_rl
  Reimplementation of "An Object-Oriented Representation for Efficient RL"
  ☆16Updated last year
• boschresearch / trust-region-layers
  Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning"
  ☆11Updated 2 years ago
• hanyas / reps
  Implementation of different Relative Entropy Policy Search flavors
  ☆13Updated 4 years ago
• robotgradient / iflow
  ☆24Updated 5 years ago
• franzesegiovanni / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆11Updated 2 years ago
• abr / neurorobotics-2020
  Neurorobotics 2020
  ☆17Updated 2 years ago
• martius-lab / iCEM
  improved Cross Entropy Method for trajectory optimization
  ☆82Updated 4 years ago
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆21Updated 2 years ago
• lasgroup / opax
  ☆19Updated last year
• sunchipsster1 / ConSpec
  ☆20Updated last year
• katfriedl / reduced_lagrangians
  ☆16Updated 10 months ago
• forgi86 / sysid-transformers
  Code to reproduce the results of the paper In-context learning for model-free system identification
  ☆18Updated last year
• resibots / pymap_elites
  map elites python reference implementation
  ☆96Updated 2 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated 2 years ago
• skezle / continual-dreamer
  Continual RL with wold models (Collas 2023)
  ☆19Updated 2 years ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆67Updated 2 years ago
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆145Updated 4 years ago
• shikharbahl / neural-dynamic-policies
  ☆73Updated 4 years ago
• ALRhub / MTS3
  Implementation of Neurips 2023 Paper "Multi Time Scale World Models"
  ☆14Updated last year
• eager-dev / eager
  [deprecated] Engine Agnostic Gym Environment for Robotics
  ☆17Updated 3 years ago
• sebastian-east / dare-torch
  Implementation of a differetiable discrete-time algebraic Riccati equation (DARE) solver in PyTorch.
  ☆11Updated 3 years ago
• google / trajax
  ☆232Updated 2 years ago
• martius-lab / GateL0RD
  Code for our NeurIPS 2021 paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
  ☆22Updated 2 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆65Updated 2 weeks ago
• eclypse-org / federact
  FedRay: a Research Framework for Federated Learning based on Ray
  ☆22Updated last year
• MahanFathi / iLQG-MuJoCo
  Iterative LQG for a couple of MuJoCo models
  ☆61Updated 3 years ago
• automl / mdp-playground
  A python package to design and debug RL agents.
  ☆33Updated last week
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆53Updated 4 years ago
• bheijden / rex
  Rex is a JAX-powered framework for sim-to-real robotics.
  ☆52Updated 7 months ago