Alternatives and similar repositories for monte-carlo-tree-search:

Users that are interested in monte-carlo-tree-search are comparing it to the libraries listed below

• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• EderSantana / EvolutionMVE
  minimum viable experiment using evolution strategy to play catch
  ☆21Updated 7 years ago
• fabianp / overview_optalgs
  ☆30Updated 4 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• davidenitti / ML
  ☆11Updated 3 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• uber-research / Evolvability-ES
  ☆14Updated 5 years ago
• sanghyunyi / alphago_zero
  A reproduction of Alphago Zero in "Mastering the game of Go without human knowledge"
  ☆13Updated 7 years ago
• dnddnjs / minecraft-rl
  simple reinforcement learning example for the minecraft
  ☆9Updated 6 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 6 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆12Updated 7 years ago
• RubensZimbres / GAN-Project-2018
  GAN in Tensorflow to be run via Linux command line
  ☆22Updated 6 years ago
• grananqvist / NALU-tf
  Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.
  ☆28Updated 6 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• Gananath / NERD
  Evolution of Discrete data with Reinforcement Learning
  ☆13Updated 5 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆54Updated 9 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 2 years ago
• matthiasplappert / keras-rl-weights
  Trained models for keras-rl.
  ☆21Updated 8 years ago
• dyth / causal-entropic-forces
  An attempt to reimplement the 2013 paper by Wissner-Gross & Freer
  ☆10Updated 4 months ago
• goodfeli / ccw_tutorial_theano
  Common Code Workflow tutorial on Theano
  ☆28Updated 11 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆19Updated 7 years ago
• eigenfoo / random
  This is all my random garbage.
  ☆26Updated last year
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆67Updated 6 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 7 years ago
• Breakend / RLSSContinuousControlTutorial
  Tutorial on continuous control at Reinforcement Learning Summer School 2017.
  ☆34Updated 7 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• reinforcement-learning-kr / reinforcement-learning-pytorch
  Minimal and Clean Reinforcement Learning Examples in PyTorch
  ☆42Updated 6 years ago
• domluna / deep-rl-gym-tutorials
  Some code for tutorials following https://gym.openai.com/docs/rl
  ☆14Updated 8 years ago