Alternatives and similar repositories for CMA-ESpp

Users that are interested in CMA-ESpp are comparing it to the libraries listed below

• HerveFrezza-Buet / RLlib
  C++ library for reinforcement learning
  ☆54Updated 2 years ago
• michaelchughes / KMeansRex
  Fast, vectorized C++ implementation of K-Means using the Eigen matrix template library. Includes Matlab and Python interfaces.
  ☆58Updated 8 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 13 years ago
• hoangminhle / SIMILE
  Code to implement SIMILE algorithm from the paper entitled "Smooth Imitation Learning for Online Sequence Prediction" from ICML 2016
  ☆13Updated 9 years ago
• mcastron / BBRL
  BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms
  ☆34Updated 9 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• radum2275 / merlin
  An extensible C++ library for probabilistic inference in graphical models.
  ☆54Updated last month
• cheind / cppopt
  Numerical optimization in C++
  ☆40Updated 11 years ago
• robotology / himrep
  Hierarchical Image Representation
  ☆10Updated last year
• CMA-ES / libcmaes
  libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES alg…
  ☆349Updated 2 months ago
• oir / soft-tree
  Soft Decision Trees (code for ICPR 21 paper)
  ☆33Updated 11 years ago
• keskarnitish / minSQN
  Optimization using Stochastic quasi-Newton methods
  ☆42Updated 8 years ago
• PetterS / spii
  A library for unconstrained minimization of smooth functions using Newton's method or L-BFGS.
  ☆37Updated 7 years ago
• muupan / predictron
  WIP implementation of "The Predictron: End-To-End Learning and Planning" (http://arxiv.org/abs/1612.08810) in Chainer
  ☆11Updated 8 years ago
• krocki / manifold
  Content Addressable Memory using dimensionality reduction
  ☆13Updated 8 years ago
• OneRaynyDay / autodiff
  Symbolic differentiation engine for optimization-based machine learning models.
  ☆43Updated 8 years ago
• ebetica / autogradpp
  Direct C++ Interface to PyTorch
  ☆81Updated 7 years ago
• arrayfire / arrayfire-ml
  ArrayFire's Machine Learning Library.
  ☆105Updated 7 years ago
• beniz / eigenmvn
  C++11 multivariate normal distribution sampling using Eigen matrices
  ☆73Updated 3 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 8 years ago
• afriesen / rdis
  C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.
  ☆57Updated 10 years ago
• arthurxlw / cytonRL
  reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay
  ☆31Updated 7 years ago
• jwetzl / CudaLBFGS
  This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the …
  ☆138Updated 5 years ago
• gsamaras / Dolphinn
  High Dimensional Approximate Near(est) Neighbor
  ☆33Updated 8 years ago
• juanjosegarciaripoll / tensor
  C++ library for numerical arrays and tensor objects and operations with them, designed to allow Matlab-style programming.
  ☆52Updated 2 years ago
• matpalm / drivebot
  tensorflow deep RL for driving a rover around
  ☆64Updated 8 years ago
• theflofly / dnn_tensorflow_cpp
  This project is a simple deep neural network trained using only TensorFlow C++.
  ☆117Updated 2 years ago
• pthimon / clustering
  Library for performing spectral clustering in C++
  ☆79Updated 2 years ago
• aman-tiwari / ofxCoverTree
  Fast high-dimensional exact KNN search.
  ☆18Updated 8 years ago
• nenadmarkus / nets-and-trees
  This demo shows how to learn a neural network on top of decision trees
  ☆32Updated 8 years ago