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.
☆426Updated 2 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☆608Updated 9 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆441Updated last month
- Multi-Objective Reinforcement Learning algorithms implementations.☆401Updated last week
- ☆254Updated last year
- Multi-objective Gymnasium environments for reinforcement learning☆333Updated last week
- Multi-Agent Reinforcement Learning with JAX☆605Updated this week
- ☆419Updated last year
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆473Updated 4 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆183Updated 9 months ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆298Updated 4 months ago
- The repository is for safe reinforcement learning baselines.☆661Updated 2 months ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆174Updated 2 months ago
- Official code repo for the MARL book (www.marl-book.com)☆521Updated 3 months ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆348Updated last year
- Official implementation of HARL algorithms based on PyTorch.☆736Updated 2 months ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- ☆211Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆606Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆489Updated last year
- A parallel framework for population-based multi-agent reinforcement learning.☆533Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers☆266Updated 2 years ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆406Updated last month
- PyTorch implementation of SAC-Discrete.☆305Updated 11 months ago
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆449Updated 3 months ago
- A plotter for reinforcement learning (RL)☆226Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆323Updated 10 months ago
- ☆234Updated 7 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆553Updated 3 years ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆372Updated last year
- Online Decision Transformer☆261Updated last year