Turbocharge Multi-Agent Reinforcement Learning with WarpDrive and PyTorch Lightning

TL;DR: WarpDrive is a flexible, lightweight, easy-to-use end-to-end reinforcement learning (RL) framework; enables orders-of-magnitude faster training on a single GPU. PyTorch Lightning enables you to modularize experimental code, and build production-ready workloads fast. Together, they can help significantly accelerate multi-agent RL R&D. Reinforcement Learning: Agents Learn by

20 May 2022 •

WarpDrive: Extremely Fast Reinforcement Learning on an NVIDIA GPU

tldr: WarpDrive is an open-source framework to do multi-agent RL end-to-end on a GPU. It achieves orders of magnitude faster multi-agent RL training with 2000 environments and 1000 agents in a simple Tag environment. WarpDrive provides lightweight tools and workflow objects to build your own fast RL workflows. Check out

01 Sep 2021 • #machine-learning

Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

This blog accompanies the interactive demo and paper! Dive deeper into the underlying simulation code and simulation card. In this blog post, we focus on the high-level features and ethical considerations of AI policy design. How can AI Help Inform Real-world Policy Design in the Future? Optimizing economic and public

09 Aug 2021 •

The First Simulation Card for Ethical AI Simulations

We recently released Foundation, an open-source framework to build economic simulations. Foundation has been designed with flexibility and AI research in mind, and can be modified by anyone. AI simulations offer researchers the power to generate data and evaluate outcomes of virtual economies that capture a part of the real

20 Oct 2020 •

The AI Economist: Join the Moonshot

We are launching an open source collaborative project to build an AI Economist that can be used to guide policy making in the real world. We invite you to join us in our mission to help improve the world with AI and economics.

06 Aug 2020 •