From 58571f06c15bf062efc5ae75e930e02e58a5c3a1 Mon Sep 17 00:00:00 2001 From: Matteo Bettini <55539777+matteobettini@users.noreply.github.com> Date: Tue, 9 Jan 2024 21:26:01 +0100 Subject: [PATCH] [Docs] Pointers to BenchMARL (#1710) --- examples/multiagent/README.md | 5 +++++ tutorials/sphinx-tutorials/multiagent_ppo.py | 7 +++++++ 2 files changed, 12 insertions(+) diff --git a/examples/multiagent/README.md b/examples/multiagent/README.md index 7c9e8b708be..1f9921e6bab 100644 --- a/examples/multiagent/README.md +++ b/examples/multiagent/README.md @@ -10,6 +10,11 @@ In this folder we provide a set of multi-agent example scripts using the [VMAS]( For more details on the experiment setup and the environments please refer to the corresponding section of the appendix in the [TorchRL paper](https://arxiv.org/abs/2306.00577). +> [!NOTE] +> If you are interested in Multi-Agent Reinforcement Learning (MARL) in TorchRL, check out [BenchMARL](https://github.com/facebookresearch/BenchMARL): +> a benchmarking library where you +> can train and compare MARL algorithms, tasks, and models using TorchRL! + ## Using the scripts ### Install diff --git a/tutorials/sphinx-tutorials/multiagent_ppo.py b/tutorials/sphinx-tutorials/multiagent_ppo.py index c5ae154fcfd..d8726e804f4 100644 --- a/tutorials/sphinx-tutorials/multiagent_ppo.py +++ b/tutorials/sphinx-tutorials/multiagent_ppo.py @@ -4,6 +4,13 @@ =============================================================== **Author**: `Matteo Bettini `_ +.. note:: + + If you are interested in Multi-Agent Reinforcement Learning (MARL) in + TorchRL, check out + `BenchMARL `__: a benchmarking library where you + can train and compare MARL algorithms, tasks, and models using TorchRL! + This tutorial demonstrates how to use PyTorch and :py:mod:`torchrl` to solve a Multi-Agent Reinforcement Learning (MARL) problem.