Alternatives and similar repositories for neat-gym

Users that are interested in neat-gym are comparing it to the libraries listed below

• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• rasmusbergpalm / evostrat
  A library that makes Evolutionary Strategies (ES) simple to use.
  ☆180Updated 4 years ago
• andyljones / megastep
  megastep helps you build 1-million FPS reinforcement learning environments on a single GPU
  ☆145Updated 3 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆96Updated 2 years ago
• icaros-usc / pyribs
  A bare-bones Python library for quality diversity optimization.
  ☆248Updated last week
• chandar-lab / RLHive
  ☆101Updated last year
• google-research / world_models
  ☆125Updated 2 years ago
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆82Updated 3 years ago
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆145Updated 4 years ago
• mdcrosby / animal-ai
  Animal-AI 3
  ☆65Updated 2 years ago
• coax-dev / coax
  Modular framework for Reinforcement Learning in python
  ☆181Updated 2 years ago
• DanieleGravina / divergence-and-quality-diversity
  A collection of papers on divergence and quality diversity
  ☆79Updated 3 years ago
• real-itu / Evocraft-py
  A Python interface for Minecraft built on gRPC
  ☆126Updated 3 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 6 years ago
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆98Updated 2 years ago
• google-deepmind / dm_alchemy
  DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
  ☆202Updated 2 years 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
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆66Updated 2 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 5 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆84Updated 6 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• google-deepmind / labmaze
  A standalone release of DeepMind Lab's maze generator with Python bindings.
  ☆67Updated 2 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 3 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆58Updated 5 years ago
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆96Updated 6 months ago
• uber-research / poet
  Paired Open-Ended Trailblazer (POET) and Enhanced POET
  ☆259Updated 3 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆64Updated 2 years ago
• rlberry-py / rlberry
  An easy-to-use reinforcement learning library for research and education.
  ☆175Updated 3 weeks ago
• nnaisense / pgpelib
  A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxi…
  ☆73Updated 5 years ago