Alternatives and similar repositories for Mighty

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

• instadeepai / flashbax
  ⚡ Flashbax: Accelerated Replay Buffers in JAX
  ☆253Updated 3 weeks ago
• adaptive-intelligent-robotics / QDax
  Accelerated Quality-Diversity
  ☆321Updated 3 months ago
• automl / arlbench
  HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient
  ☆25Updated last month
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆165Updated 3 months ago
• RobertTLange / evosax
  Evolution Strategies in JAX 🦎
  ☆668Updated 3 weeks ago
• epignatelli / navix
  Accelerated minigrid environments with JAX
  ☆150Updated last month
• keraJLi / rejax
  Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
  ☆236Updated 4 months ago
• EdanToledo / Stoix
  🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
  ☆359Updated this week
• proroklab / popgym
  Partially Observable Process Gym
  ☆201Updated 4 months ago
• icaros-usc / pyribs
  A bare-bones Python library for quality diversity optimization.
  ☆241Updated 2 weeks ago
• RobertTLange / gymnax
  RL Environments in JAX 🌍
  ☆813Updated 4 months ago
• coax-dev / coax
  Modular framework for Reinforcement Learning in python
  ☆176Updated 2 years ago
• SuReLI / RRLS
  Robust Reinforcement Learning Suite
  ☆32Updated 9 months ago
• RPegoud / jym
  JAX implementation of RL algorithms and vectorized environments
  ☆49Updated last year
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆91Updated last week
• slds-lmu / yahpo_gym
  Surrogate benchmarks for HPO problems
  ☆28Updated 4 months ago
• kenjyoung / MinAtar
  ☆312Updated 9 months ago
• 0xprofessooor / Pearl
  Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
  ☆56Updated 3 years ago
• instadeepai / sebulba
  🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
  ☆59Updated last year
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆72Updated 2 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆93Updated 2 years ago
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆20Updated 2 months ago
• openrlbenchmark / openrlbenchmark
  ☆238Updated 10 months ago
• takuseno / d4rl-atari
  Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)
  ☆124Updated last year
• google-research / rliable
  [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
  ☆849Updated last year
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆82Updated 3 years ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆50Updated last year
• instadeepai / jumanji
  🕹️ A diverse suite of scalable reinforcement learning environments in JAX
  ☆763Updated this week
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆186Updated 6 months ago