Alternatives and similar repositories for turbozero

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

• facebookresearch / minimax
  Efficient baselines for autocurricula in JAX.
  ☆201Updated last year
• bwfbowen / muax
  A project that provides help for using DeepMind's mctx on gym-style environments.
  ☆63Updated last year
• kenjyoung / mctx_learning_demo
  ☆53Updated 2 years ago
• epignatelli / navix
  Accelerated minigrid environments with JAX
  ☆153Updated 2 months ago
• DramaCow / jaxued
  ☆90Updated 3 months ago
• Reytuag / transformerXL_PPO_JAX
  ☆88Updated last year
• keraJLi / rejax
  Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
  ☆251Updated last month
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆120Updated last year
• rlglab / minizero
  [IEEE ToG] MiniZero: An AlphaZero and MuZero Training Framework
  ☆116Updated 5 months ago
• NTT123 / a0-jax
  AlphaZero in JAX
  ☆81Updated last year
• lowrollr / mctx-az
  Monte Carlo tree search in JAX, with functionality to continue search from a previous subtree
  ☆25Updated 7 months ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆73Updated 2 years ago
• instadeepai / flashbax
  ⚡ Flashbax: Accelerated Replay Buffers in JAX
  ☆267Updated 3 months ago
• instadeepai / sebulba
  🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
  ☆61Updated 2 years ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆45Updated 3 years ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆229Updated last month
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆74Updated last year
• instadeepai / matrax
  A collection of matrix games in JAX
  ☆12Updated last year
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆111Updated 2 years ago
• DHDev0 / Muzero-unplugged
  Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…
  ☆34Updated 6 months ago
• DHDev0 / Stochastic-muzero
  Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…
  ☆75Updated 2 years ago
• MichaelTMatthews / Craftax
  (Crafter + NetHack) in JAX. ICML 2024 Spotlight.
  ☆360Updated 5 months ago
• luchris429 / discovered-policy-optimisation
  Code for Discovered Policy Optimisation (NeurIPS 2022)
  ☆12Updated 2 years ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆105Updated last year
• EdanToledo / Stoix
  🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
  ☆378Updated 2 months ago
• tinker495 / jax-baseline
  Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…
  ☆62Updated this week
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆58Updated 3 years ago
• luchris429 / JaxLife
  An Open-Ended Agentic Simulator
  ☆58Updated last year
• 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