Alternatives and similar repositories for Jynx:

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

• instadeepai / flashbax
  ⚡ Flashbax: Accelerated Replay Buffers in JAX
  ☆216Updated last week
• instadeepai / marl-eval
  A tool for aggregating and plotting MARL experiment data.
  ☆64Updated last month
• EdanToledo / Stoix
  🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
  ☆251Updated last week
• instadeepai / sebulba
  🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
  ☆50Updated last year
• MichaelTMatthews / Craftax
  (Crafter + NetHack) in JAX. ICML 2024 Spotlight.
  ☆216Updated 2 months ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆134Updated 10 months ago
• adaptive-intelligent-robotics / QDax
  Accelerated Quality-Diversity
  ☆270Updated 2 months ago
• instadeepai / matrax
  A collection of matrix games in JAX
  ☆10Updated 2 weeks ago
• keraJLi / rejax
  ☆158Updated this week
• instadeepai / catx
  🐈‍⬛ Contextual bandits library for continuous action trees with smoothing in JAX
  ☆65Updated 2 years ago
• proroklab / popgym
  Partially Observable Process Gym
  ☆168Updated 5 months ago
• Reytuag / transformerXL_PPO_JAX
  ☆68Updated last month
• instadeepai / og-marl
  Datasets with baselines for offline multi-agent reinforcement learning.
  ☆152Updated last month
• RPegoud / jym
  JAX implementation of RL algorithms and vectorized environments
  ☆37Updated 11 months ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆95Updated 2 years ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated 11 months ago
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆109Updated 2 weeks ago
• nico-bohlinger / RL-X
  A framework for Reinforcement Learning research.
  ☆128Updated 2 weeks ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆127Updated 2 weeks ago
• DramaCow / jaxued
  ☆65Updated 3 months ago
• MichaelTMatthews / Craftax_Baselines
  ☆18Updated 4 months ago
• kenjyoung / MinAtar
  ☆288Updated last year
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 2 years ago
• openrlbenchmark / openrlbenchmark
  ☆206Updated 3 weeks ago
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆79Updated 2 years ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆118Updated last year
• hamishs / JAX-RL
  JAX implementations of various deep reinforcement learning algorithms.
  ☆21Updated 3 years ago
• martius-lab / pink-noise-rl
  ☆39Updated last year
• timoklein / redo
  ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)
  ☆25Updated last month
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆47Updated last year