facebookresearch / BenchMARLLinks
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
☆518Updated 3 weeks ago
Alternatives and similar repositories for BenchMARL
Users that are interested in BenchMARL are comparing it to the libraries listed below
Sorting:
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆655Updated last year
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆491Updated 3 weeks ago
- ☆275Updated last year
- Multi-Agent Reinforcement Learning with JAX☆698Updated 2 weeks ago
- Multi-Objective Reinforcement Learning algorithms implementations.☆468Updated 3 months ago
- Multi-objective Gymnasium environments for reinforcement learning☆353Updated 5 months ago
- ☆456Updated last year
- Official implementation of HARL algorithms based on PyTorch.☆824Updated 7 months ago
- The repository is for safe reinforcement learning baselines.☆731Updated last month
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆516Updated 2 weeks ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆198Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers☆281Updated 3 years ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆313Updated 2 weeks ago
- Datasets with baselines for Offline MARL.☆190Updated last month
- Official code repo for the MARL book (www.marl-book.com)☆574Updated 8 months ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆371Updated 4 months ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆514Updated 2 years ago
- ☆220Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆363Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆624Updated last year
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆338Updated last year
- A suite of test scenarios for multi-agent reinforcement learning.☆763Updated this week
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆504Updated 3 weeks ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆460Updated last month
- PyTorch implementation of Soft Actor-Critic (SAC)☆571Updated 4 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆408Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆736Updated 3 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆544Updated last year
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆398Updated last year
- PyTorch implementation of SAC-Discrete.☆312Updated last year