Alternatives and similar repositories for pymap_elites

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

• icaros-usc / pyribs
  A bare-bones Python library for quality diversity optimization.
  ☆245Updated this week
• quality-diversity / quality-diversity.github.io
  Website for Quality-Diversity optimisation algorithms
  ☆49Updated 6 months ago
• DanieleGravina / divergence-and-quality-diversity
  A collection of papers on divergence and quality diversity
  ☆78Updated 3 years ago
• adaptive-intelligent-robotics / QDax
  Accelerated Quality-Diversity
  ☆331Updated last month
• ollebompa / QDgym
  Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.
  ☆25Updated 4 years ago
• icaros-usc / dqd
  A python implementation of differentiable quality diversity.
  ☆51Updated 4 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• real-itu / Evocraft-py
  A Python interface for Minecraft built on gRPC
  ☆126Updated 3 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 6 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 years ago
• coax-dev / coax
  Modular framework for Reinforcement Learning in python
  ☆180Updated 2 years ago
• simondlevy / neat-gym
  Neuro-evolution for OpenAI Gym environments
  ☆59Updated 4 years ago
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆66Updated 2 years ago
• zdhNarsil / Stochastic-Marginal-Actor-Critic
  Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
  ☆24Updated 2 years ago
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆82Updated 3 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆106Updated 5 years ago
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 5 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• nnaisense / pgpelib
  A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxi…
  ☆73Updated 4 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆73Updated 2 years ago
• sebascuri / hucrl
  ☆32Updated 2 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆57Updated 5 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• ollebompa / PGA-MAP-Elites
  Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…
  ☆58Updated 4 years ago
• danijar / ninjax
  General Modules for JAX
  ☆71Updated 2 months ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆59Updated 3 years ago
• schmidtdominik / Rainbow
  Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …
  ☆44Updated 3 years ago
• google-research / world_models
  ☆125Updated 2 years ago
• ppocma / ppocma
  ☆72Updated 6 years ago