A tool for aggregating and plotting MARL experiment data.
☆89Apr 13, 2026Updated 6 months ago
Alternatives and similar repositories for marl-eval
Users that are interested in marl-eval are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of matrix games in JAX☆16Apr 13, 2026Updated 6 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆58Jan 20, 2023Updated 3 years ago
- Datasets with baselines for Offline MARL.☆232Nov 2, 2025Updated 11 months ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆282Aug 27, 2026Updated 2 months ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆62Aug 22, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function☆13Apr 13, 2026Updated 6 months ago
- The Starcraft Multi-Agent challenge lite☆49Sep 13, 2024Updated 2 years ago
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆939Sep 9, 2026Updated last month
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆425Mar 18, 2026Updated 7 months ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆678Feb 7, 2026Updated 8 months ago
- A LLM-friendly framework for translating dynamical equations to gymnasium-compatible RL environments.☆33Mar 18, 2026Updated 7 months ago
- A JAX-Native Interface for Reinforcement Learning Environments☆10Oct 6, 2025Updated last year
- Multi-Agent Reinforcement Learning with JAX☆869Updated this week
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆874Oct 16, 2026Updated 2 weeks ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Simple single file implementations of Reinforcement Learning algorithms in Julia☆25Feb 15, 2025Updated last year
- Accelerated minigrid environments with JAX☆184Sep 10, 2026Updated last month
- Accelerated replay buffers in JAX☆47Sep 17, 2022Updated 4 years ago
- 🫧 Differentiable microbubble dynamics in JAX.☆17Oct 7, 2026Updated 3 weeks ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆741Sep 24, 2024Updated 2 years ago
- This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…☆32Dec 21, 2024Updated last year
- Accelerated Quality-Diversity☆364Oct 30, 2025Updated last year
- Official Implementation of Memento☆25Aug 21, 2026Updated 2 months ago
- ☆334Feb 15, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆77Dec 19, 2023Updated 2 years ago
- A multi-agent version of the Craftax-Classic environment☆12Jun 29, 2026Updated 4 months ago
- Efficient baselines for autocurricula in JAX.☆217Aug 24, 2024Updated 2 years ago
- A relay between Gymnasium and any software☆11Aug 11, 2025Updated last year
- Code for Model-Free Opponent Shaping (ICML 2022)☆24Nov 18, 2022Updated 3 years ago
- flexible meta-learning in jax☆17Oct 19, 2023Updated 3 years ago
- A suite of test scenarios for multi-agent reinforcement learning.☆903Oct 13, 2026Updated 2 weeks ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆878Aug 12, 2024Updated 2 years ago
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆102Aug 28, 2024Updated 2 years ago
- 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☆246Nov 24, 2025Updated 11 months ago
- ☆79Nov 22, 2025Updated 11 months ago
- Notebooks for the Practicals at the Deep Learning Indaba 2024.☆69Sep 3, 2024Updated 2 years ago
- An open source benchmark for Multi Agent Reinforcement Learning☆31Jul 15, 2023Updated 3 years ago
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆50Mar 25, 2025Updated last year
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆627May 19, 2026Updated 5 months ago
- ♟️ Vectorized RL game environments in JAX☆657Mar 6, 2025Updated last year