InstaDeep hits a new record, taking five papers to New Orleans for NeurIPS 2022

InstaDeep is pleased to announce that a record five of its AI research papers have been accepted for presentation at the Thirty-sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022) with two papers in the main track and three workshop papers, including one authored in collaboration with BioNTech as part of our joint AI Innovation… Read more »

Mava: A new Open-Source Framework for Multi-Agent Reinforcement Learning

Today, InstaDeep introduces Mava: a research framework specifically designed for building scalable, high-quality Multi-Agent Reinforcement Learning (MARL) systems. Mava provides useful components, abstractions, utilities, and tools for MARL and allows for easy scaling with multi-process system training and execution while providing a high level of flexibility and composability. To support the field of single-agent reinforcement… Read more »