Efficient baselines for autocurricula in JAX.
☆214Aug 24, 2024Updated last year
Alternatives and similar repositories for minimax
Users that are interested in minimax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆98Jan 21, 2026Updated 6 months ago
- Scalable Opponent Shaping Experiments in JAX☆27Apr 13, 2024Updated 2 years ago
- JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️☆342Dec 16, 2025Updated 7 months ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆427Jun 20, 2026Updated last month
- Simple JAX Graphics Library.☆38Nov 3, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆279Sep 22, 2025Updated 10 months ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆274Jun 10, 2026Updated last month
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆141Aug 20, 2024Updated last year
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆416Mar 18, 2026Updated 4 months ago
- Really Fast End-to-End Jax RL Implementations☆1,093Sep 9, 2024Updated last year
- Multi-Agent Reinforcement Learning with JAX☆835Updated this week
- Baselines for gymnax 🤖☆78Apr 3, 2023Updated 3 years ago
- Highly scalable 2D JAX physics engine.☆68Apr 20, 2026Updated 3 months ago
- An Open-Ended Agentic Simulator☆61Aug 11, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Simple single-file baselines for Q-Learning in pure-GPU setting☆242Nov 24, 2025Updated 8 months ago
- RL Environments in JAX 🌍☆910Apr 2, 2026Updated 3 months ago
- ♟️ Vectorized RL game environments in JAX☆634Mar 6, 2025Updated last year
- POPGym Library in JAX☆14Apr 15, 2024Updated 2 years ago
- Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.☆262May 21, 2026Updated 2 months ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Nov 24, 2025Updated 8 months ago
- Accelerated minigrid environments with JAX☆175Oct 20, 2025Updated 9 months ago
- a jax benchmark for ad hoc teamwork☆22Jun 27, 2026Updated 3 weeks ago
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆854Jun 18, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆125Aug 22, 2024Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆116Dec 5, 2023Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆81Aug 18, 2024Updated last year
- Evolution Strategies in JAX 🦎☆778Apr 2, 2026Updated 3 months ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Jun 15, 2023Updated 3 years ago
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆107Jan 23, 2025Updated last year
- ☆96Feb 16, 2026Updated 5 months ago
- Generative cellular automaton-like learning environments for RL.☆20Jan 30, 2025Updated last year
- Accelerated Quality-Diversity☆357Oct 30, 2025Updated 8 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Clean single-file implementation of offline RL algorithms in JAX☆182Jun 5, 2026Updated last month
- Code for Model-Free Opponent Shaping (ICML 2022)☆24Nov 18, 2022Updated 3 years ago
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆84Feb 13, 2025Updated last year
- A simple, performant and scalable JAX-based world modeling codebase.☆155Jan 15, 2026Updated 6 months ago
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆924May 26, 2026Updated last month
- flexible meta-learning in jax☆16Oct 19, 2023Updated 2 years ago
- Partially Observable Process Gym☆227Jun 11, 2026Updated last month