Alternatives and similar repositories for swifttd

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

• epignatelli / navix
  Accelerated minigrid environments with JAX
  ☆156Updated 3 months ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆122Updated last year
• danijar / ninjax
  General Modules for JAX
  ☆72Updated 4 months ago
• Reytuag / transformerXL_PPO_JAX
  ☆90Updated last year
• MichaelTMatthews / Craftax
  (Crafter + NetHack) in JAX. ICML 2024 Spotlight.
  ☆368Updated 6 months ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆74Updated 2 years ago
• tinkoff-ai / katakomba
  Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
  ☆76Updated 2 years ago
• lowrollr / turbozero
  fast + parallel AlphaZero in JAX
  ☆109Updated last year
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆233Updated 2 months ago
• facebookresearch / minimax
  Efficient baselines for autocurricula in JAX.
  ☆206Updated 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
• DramaCow / jaxued
  ☆91Updated last week
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆109Updated last year
• 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
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆112Updated 2 years ago
• keraJLi / rejax
  Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
  ☆258Updated 3 months ago
• instadeepai / flashbax
  ⚡ Flashbax: Accelerated Replay Buffers in JAX
  ☆269Updated 4 months ago
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• maxencefaldor / omni-epic
  OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code (ICLR 2025).
  ☆73Updated last year
• google-deepmind / csuite
  ☆46Updated last year
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆46Updated 3 years ago
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆132Updated 7 months ago
• floringogianu / atari-agents
  Code and links for over 25,000 trained Atari agents
  ☆98Updated last year
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆22Updated last year
• instadeepai / sebulba
  🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
  ☆61Updated 2 years ago
• instadeepai / matrax
  A collection of matrix games in JAX
  ☆13Updated last year
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆74Updated last year
• RyanNavillus / Syllabus
  Synchronized Curriculum Learning for RL Agents
  ☆119Updated 2 months ago
• AlexGoldie / rl-learned-optimization
  Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"
  ☆30Updated last month
• cgarciae / nanoGPT-jax
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆37Updated 2 years ago