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

• Gananath / NERD
  Evolution of Discrete data with Reinforcement Learning
  ☆13Updated 5 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 8 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆12Updated 8 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 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
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆55Updated 6 years ago
• pmlg / deep-rl-bootcamp
  Deep RL Bootcamp solutions
  ☆35Updated 7 years ago
• vmonaco / pohmm
  Python implementation of the partially observable hidden Markov model
  ☆21Updated 5 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• matthiasplappert / keras-rl-weights
  Trained models for keras-rl.
  ☆21Updated 8 years ago
• dnddnjs / minecraft-rl
  simple reinforcement learning example for the minecraft
  ☆9Updated 6 years ago
• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆46Updated 6 years ago
• ThomasMiconi / Meta-Task-Generator
  Automatically generate simple meta-learning tasks from a very large space
  ☆15Updated last year
• DanielTakeshi / Interview_Practice
  Practice for coding interviews.
  ☆36Updated 5 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆53Updated 4 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 6 years ago
• lvwerra / deep-math
  Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"
  ☆30Updated 2 years ago
• google / jax-recommenders
  ☆10Updated 2 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• fastai / fastforest
  A forest that is fast
  ☆41Updated 6 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• Project-DC / pygeneses
  A PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments.
  ☆71Updated 2 years ago
• adeshpande3 / Music-Analysis
  Trying to apply deep learning to music analysis
  ☆12Updated 8 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆23Updated 2 years ago
• davidenitti / ML
  ☆11Updated 3 years ago
• VowpalWabbit / reinforcement_learning
  Interaction-side integration library for Reinforcement Learning loops: Predict, Log, [Learn,] Update
  ☆75Updated 8 months ago
• EderSantana / EvolutionMVE
  minimum viable experiment using evolution strategy to play catch
  ☆21Updated 7 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 8 years ago
• petosa / multiplayer-alphazero
  PyTorch AlphaZero implementation with multiplayer support [NeurIPS 2019 Deep Reinforcement Learning Workshop]
  ☆34Updated 4 years ago