Alternatives and similar repositories for easyagents

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

• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆102Updated last year
• llnl / Abmarl
  Agent Based Modeling and Reinforcement Learning
  ☆78Updated last year
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆63Updated 2 years ago
• nathanrooy / landscapes
  A dependency free library of standardized optimization test functions written in pure Python.
  ☆62Updated 3 weeks ago
• gvanderheide / discreteMarkovChain
  Calculate the steady state distribution of a discrete Markov chain in Python.
  ☆46Updated 7 years ago
• FrancescoSaverioZuppichini / Reinforcement-Learning-Cheat-Sheet
  Reinforcement Learning Cheat Sheet
  ☆157Updated 6 years ago
• automl / DEHB
  ☆90Updated 8 months ago
• andnp / coursera-rl-glue
  RlGlue code library used in the RL specialization on Coursera.
  ☆31Updated 2 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• greenpau / Machine-Learning-and-Artificial-Intelligence
  Resources to learn more about Machine Learning and Artificial Intelligence
  ☆27Updated 4 years ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 3 years ago
• airbus / scikit-decide
  AI framework for Reinforcement Learning, Automated Planning and Scheduling
  ☆182Updated this week
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated last year
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆69Updated 7 years ago
• enlite-ai / maze
  Maze Applied Reinforcement Learning Framework
  ☆286Updated 3 weeks ago
• manitadayon / tsBNgen
  ☆60Updated 2 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆177Updated 3 years ago
• josiahls / fast-reinforcement-learning
  Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme
  ☆39Updated 4 years ago
• donghun2018 / seqdecisionlib-release
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆61Updated 6 years ago
• FarnazAdib / Crash_course_on_RL
  This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
  ☆83Updated last year
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆32Updated 3 years ago
• microsoft / coax
  This project was moved to: https://github.com/coax-dev/coax
  ☆161Updated 3 years ago
• coax-dev / coax
  Modular framework for Reinforcement Learning in python
  ☆181Updated 2 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆142Updated 11 months ago
• google-research / tensorflow_constrained_optimization
  ☆312Updated 4 years ago
• DerwenAI / ray_tutorial
  An introductory tutorial about leveraging Ray core features for distributed patterns.
  ☆79Updated 2 years ago
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆57Updated 5 years ago
• djanka2 / stochastic-optimization
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆65Updated last year
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 2 months ago