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.
☆449Updated last month
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☆620Updated 11 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆452Updated 2 months ago
- ☆258Updated last year
- Multi-objective Gymnasium environments for reinforcement learning☆338Updated last month
- Multi-Objective Reinforcement Learning algorithms implementations.☆417Updated 2 weeks ago
- ☆425Updated last year
- Multi-Agent Reinforcement Learning with JAX☆621Updated last month
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆483Updated last week
- Datasets with baselines for Offline MARL.☆177Updated 3 weeks ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆305Updated 6 months ago
- Official implementation of HARL algorithms based on PyTorch.☆754Updated 3 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆188Updated 11 months ago
- Official code repo for the MARL book (www.marl-book.com)☆532Updated 4 months ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆354Updated last month
- ☆215Updated 2 years ago
- The repository is for safe reinforcement learning baselines.☆682Updated 3 weeks ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆492Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆271Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆609Updated last year
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆422Updated last month
- ☆235Updated 9 months ago
- A parallel framework for population-based multi-agent reinforcement learning.☆531Updated last year
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆832Updated last week
- Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…☆278Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆327Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆165Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆556Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆115Updated 2 years ago
- Online Decision Transformer☆265Updated last year