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.
  ☆243Updated last month
• adaptive-intelligent-robotics / QDax
  Accelerated Quality-Diversity
  ☆326Updated 2 weeks ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• DanieleGravina / divergence-and-quality-diversity
  A collection of papers on divergence and quality diversity
  ☆78Updated 3 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 6 years ago
• quality-diversity / quality-diversity.github.io
  Website for Quality-Diversity optimisation algorithms
  ☆48Updated 5 months ago
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆65Updated 2 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆72Updated 2 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆76Updated 4 years ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆63Updated 2 years ago
• real-itu / Evocraft-py
  A Python interface for Minecraft built on gRPC
  ☆126Updated 3 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
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆82Updated 3 years ago
• ollebompa / QDgym
  Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.
  ☆24Updated 4 years ago
• icaros-usc / dqd
  A python implementation of differentiable quality diversity.
  ☆49Updated 4 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 years ago
• nnaisense / pgpelib
  A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxi…
  ☆71Updated 4 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆168Updated this week
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆151Updated 4 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 3 years ago
• simondlevy / neat-gym
  Neuro-evolution for OpenAI Gym environments
  ☆59Updated 4 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
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆84Updated 5 years ago
• EvolutionGym / evogym
  A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
  ☆231Updated 5 months ago
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆72Updated last year
• luchris429 / JaxLife
  An Open-Ended Agentic Simulator
  ☆54Updated last year