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

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 [https://einstein.ai/the-ai-economist/ai-policy-foundation-and-covid-case-study] and paper [https://arxiv.org/abs/2108.02904]! Dive deeper into the underlying simulation code [https://www.github.com/salesforce/ai-economist ] and simulation card [https://github.com/salesforce/ai-economist/blob/master/COVID-19_Simulation-Card.pdf] . In this blog post, we

09 Aug 2021 •