Alternatives and similar repositories for cma-es:

Users that are interested in cma-es are comparing it to the libraries listed below

• CyberAgentAILab / cmaes
  Python library for CMA Evolution Strategy.
  ☆414Updated this week
• dietmarwo / fast-cma-es
  A Python 3 gradient-free optimization library
  ☆134Updated last month
• BY571 / Randomized-Ensembled-Double-Q-learning-REDQ-
  Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)
  ☆21Updated 4 years ago
• jbmouret / map_elites_tutorial
  Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
  ☆19Updated 2 years ago
• EvoConJP / CMA-ES_with_Margin
  (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
  ☆30Updated last year
• chanshing / xnes
  Implementation of "Exponential Natural Evolution Strategies" (xNES) https://arxiv.org/abs/1106.4487
  ☆19Updated 5 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆102Updated 4 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆28Updated 2 years ago
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆105Updated 4 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆81Updated last year
• LDNN97 / Evolutionary-Optimization-Algorithms
  DE, CMA-ES, MA-ES, LM-MAES Python Implementation
  ☆30Updated 5 years ago
• siemens / industrialbenchmark
  Industrial Benchmark
  ☆127Updated last year
• PatrickKorus / mcts-general
  General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
  ☆39Updated 4 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆15Updated 6 years ago
• quality-diversity / quality-diversity.github.io
  Website for Quality-Diversity optimisation algorithms
  ☆43Updated last week
• crisbodnar / pderl
  Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020
  ☆52Updated 8 months ago
• Evolutionary-Intelligence / pypop
  [CCF-A] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evo…
  ☆232Updated this week
• billtubbs / gym-CartPole-bt-v0
  A modified version of the cart-pole OpenAI Gym environment for testing different control policies
  ☆13Updated 8 months ago
• alirezakazemipour / SAC
  Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.
  ☆26Updated 8 months ago
• ChuaCheowHuan / reinforcement_learning
  My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
  ☆38Updated 2 years ago
• Kyziridis / BipedalWalker-v2
  Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning
  ☆26Updated 4 years ago
• CMA-ES / pycomocma
  A Python implementation of COMO-CMA-ES, a non-elitist multiobjective Evolution Strategy
  ☆15Updated 4 years ago
• acyclics / MPO
  Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments
  ☆27Updated 4 years ago
• Evolutionary-Intelligence / EvolutionaryComputation-A-Modern-Perspective-ECAMP
  Evolutionary Computation: A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: fr…
  ☆51Updated 3 weeks ago
• xKuZz / pyade
  Python Advanced Differential Evolution
  ☆42Updated last year
• jsztompka / MultiAgent-PPO
  Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis
  ☆29Updated 6 years ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆48Updated 3 years ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆19Updated 2 years ago
• clementbernardd / Count-Based-Exploration
  Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project
  ☆15Updated 3 years ago
• timoklein / alphazero-gym
  AlphaZero for continuous control tasks
  ☆23Updated 2 years ago