Alternatives and similar repositories for CMA-ES_with_Margin

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

• CMA-ES / pycomocma
  A Python implementation of COMO-CMA-ES, a non-elitist multiobjective Evolution Strategy
  ☆15Updated 2 weeks ago
• neuroevobench / neuroevobench
  Neuroevolution Benchmark in JAX 🦕
  ☆39Updated last year
• jparkerholder / ASEBO
  Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …
  ☆16Updated 4 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆73Updated 2 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆28Updated 3 years ago
• rail-berkeley / design-bench
  ☆50Updated 3 years ago
• facebookresearch / ContextualBO
  Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"
  ☆15Updated 4 years ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• sarmueller / gibo
  This repository contains the code for the paper "Local policy search with Bayesian optimization".
  ☆15Updated 2 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆90Updated last year
• automl / LTO-CMA
  Code for the paper "Learning Step-Size Adaptation in CMA-ES"
  ☆11Updated 2 years ago
• LeoIV / BAxUS
  This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…
  ☆17Updated last year
• automl / DACBench
  A benchmark library for Dynamic Algorithm Configuration.
  ☆30Updated 9 months ago
• nomuramasahir0 / crfmnes
  (CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
  ☆17Updated last year
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆93Updated 3 months ago
• aryandeshwal / HyBO
  ☆23Updated 2 years ago
• icaros-usc / dqd
  A python implementation of differentiable quality diversity.
  ☆49Updated 3 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆24Updated 2 years ago
• tedmoskovitz / WNPG
  implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
  ☆11Updated 4 years ago
• uber-research / TuRBO
  ☆200Updated 11 months ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆73Updated 3 years ago
• CWI-EvolutionaryIntelligence / GOMEA
  Library for optimization with the model-based evolutionary algorithm GOMEA (Gene-pool Optimal Mixing Evolutionary Algorithm)
  ☆22Updated 2 months ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆53Updated 5 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆30Updated last year
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 2 years ago
• aryandeshwal / BOPS
  Python implementation of Bayesian optimization over permutation spaces.
  ☆18Updated 3 years ago
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆65Updated last year
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 3 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 2 years ago