Alternatives and similar repositories for kaggle-lux-2024

Users that are interested in kaggle-lux-2024 are comparing it to the libraries listed below

• w9PcJLyb / lux3-bot
  3rd Place Solution in Lux AI Season 3 (NeurIPS 2024) Competition
  ☆15Updated 9 months ago
• glmcdona / LuxPythonEnvGym
  Matching python environment code for Lux AI 2021 Kaggle competition, and a gym interface for RL models.
  ☆75Updated 4 years ago
• sotetsuk / pgx
  ♟️ Vectorized RL game environments in JAX
  ☆567Updated 10 months ago
• Lux-AI-Challenge / Lux-Design-S3
  Repository for the Lux AI Challenge, season 3 @NeurIPS 24. Hosted on @kaggle
  ☆324Updated 11 months ago
• Reytuag / transformerXL_PPO_JAX
  ☆89Updated last year
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆231Updated last month
• epignatelli / navix
  Accelerated minigrid environments with JAX
  ☆154Updated 2 months ago
• MichaelTMatthews / Craftax
  (Crafter + NetHack) in JAX. ICML 2024 Spotlight.
  ☆362Updated 6 months ago
• corl-team / katakomba
  Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
  ☆43Updated 2 years ago
• instadeepai / flashbax
  ⚡ Flashbax: Accelerated Replay Buffers in JAX
  ☆268Updated 3 months ago
• Eclectic-Sheep / sheeprl
  Distributed Reinforcement Learning accelerated by Lightning Fabric
  ☆415Updated 2 weeks ago
• openrlbenchmark / openrlbenchmark
  ☆246Updated last year
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆74Updated 2 years ago
• SuReLI / RRLS
  Robust Reinforcement Learning Suite
  ☆36Updated last year
• Lux-AI-Challenge / Lux-Design-S2
  Repository for the Lux AI Challenge, season 2 (NeurIPS 23). Hosted on @kaggle
  ☆399Updated last year
• keraJLi / rejax
  Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
  ☆254Updated 2 months ago
• EdanToledo / Stoix
  🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
  ☆380Updated 2 months ago
• RPegoud / jym
  JAX implementation of RL algorithms and vectorized environments
  ☆51Updated 2 years ago
• Carbon225 / mctx-classic
  Classic MCTS example with mctx
  ☆24Updated 2 years ago
• mohmdelsayed / streaming-drl
  Deep reinforcement learning without experience replay, target networks, or batch updates.
  ☆272Updated 9 months ago
• Kaggle / kaggle-environments
  ☆360Updated last week
• bwfbowen / muax
  A project that provides help for using DeepMind's mctx on gym-style environments.
  ☆63Updated last year
• instadeepai / sebulba
  🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
  ☆61Updated 2 years ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆120Updated last year
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆165Updated last month
• IsaiahPressman / Kaggle_Lux_AI_2021
  ☆106Updated 4 years ago
• instadeepai / marl-eval
  A tool for aggregating and plotting MARL experiment data.
  ☆80Updated 11 months ago
• meta-pytorch / LeanRL
  LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.
  ☆666Updated 4 months ago
• dunnolab / xland-minigrid
  JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
  ☆321Updated 3 weeks ago
• lowrollr / mctx-az
  Monte Carlo tree search in JAX, with functionality to continue search from a previous subtree
  ☆25Updated 8 months ago