π¦ A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
β926May 26, 2026Updated 2 months ago
Alternatives and similar repositories for Mava
Users that are interested in Mava are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- πΉοΈ A diverse suite of scalable reinforcement learning environments in JAXβ855Updated this week
- πββ¬ Contextual bandits library for continuous action trees with smoothing in JAXβ71Jul 28, 2026Updated 2 weeks ago
- Multi-Agent Reinforcement Learning with JAXβ841Aug 3, 2026Updated last week
- ποΈA research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX β’ End-to-End JAX RLβ417Mar 18, 2026Updated 4 months ago
- β‘ Flashbax: Accelerated Replay Buffers in JAXβ280Sep 22, 2025Updated 10 months ago
- Managed Kubernetes at scale on DigitalOcean β’ AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A tool for aggregating and plotting MARL experiment data.β86Apr 13, 2026Updated 3 months ago
- Datasets with baselines for Offline MARL.β225Nov 2, 2025Updated 9 months ago
- Accelerated Quality-Diversityβ358Oct 30, 2025Updated 9 months ago
- A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilitiesβ3,489Updated this week
- RL Environments in JAX πβ912Apr 2, 2026Updated 4 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment supportβ730Sep 24, 2024Updated last year
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papersβ58Jan 20, 2023Updated 3 years ago
- Really Fast End-to-End Jax RL Implementationsβ1,093Sep 9, 2024Updated last year
- πͺ The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAXβ61Oct 23, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Python Multi-Agent Reinforcement Learning frameworkβ2,215Dec 8, 2022Updated 3 years ago
- A collection of matrix games in JAXβ14Apr 13, 2026Updated 3 months ago
- A suite of test scenarios for multi-agent reinforcement learning.β861Updated this week
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)β1,343Nov 28, 2024Updated last year
- A parallel framework for population-based multi-agent reinforcement learning.β554Dec 14, 2023Updated 2 years ago
- Efficient baselines for autocurricula in JAX.β214Aug 24, 2024Updated last year
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algβ¦β651Feb 7, 2026Updated 6 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of β¦β597May 19, 2026Updated 2 months ago
- Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)β503May 1, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting β’ AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- βοΈ Vectorized RL game environments in JAXβ636Mar 6, 2025Updated last year
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!β274Jun 10, 2026Updated 2 months ago
- A library of reinforcement learning components and agentsβ4,040Aug 1, 2026Updated last week
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithmsβ604Jul 26, 2026Updated 2 weeks ago
- β1,435Updated this week
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.β880Aug 12, 2024Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).β2,073Jul 18, 2024Updated 2 years ago
- A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappersβ492Jul 13, 2026Updated 3 weeks ago
- Vectorization techniques for fast population-based training.β57Apr 26, 2026Updated 3 months ago
- Simple, predictable pricing with DigitalOcean hosting β’ AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, Tβ¦β10,241Apr 20, 2026Updated 3 months ago
- Evolution Strategies in JAX π¦β785Apr 2, 2026Updated 4 months ago
- 𧬠ManyFold: An efficient and flexible library for training and validating protein folding modelsβ80Dec 14, 2022Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.β749May 23, 2022Updated 4 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.β757Oct 26, 2022Updated 3 years ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.β436Jun 20, 2026Updated last month
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environmentβ436Sep 15, 2024Updated last year