New Article: "Induction and Exploitation of Subgoal Automata for Reinforcement Learning" by Furelos-Blanco, Law, Jonsson, Broda and Russo bit.ly/30wuyz1

1/ We are delighted to share our recent work, Poppy 🌺 “Population-Based Reinforcement Learning for Combinatorial Optimization”, which achieves SOTA RL performance on canonical NP-hard combinatorial problems 🚀. 📚 Paper: arxiv.org/abs/2210.03475 📖 Blog: bit.ly/3stDenZ

Excited to announce 2 papers on performance-driven diversity for RL and combinatorial optimization to be presented at Neurips today 📢 Some problems are simply too difficult to be solved with a single shot. But if you have several shots, how to make the most of them? 🧵1/7

Excited to announce Jumanji v1.0, now featuring 22 fast, flexible, and scalable environments! Fully written in JAX, Jumanji offers on-device fully-jitted simulations and training. Jumanji got published at ICLR 2024! Paper: arxiv.org/abs/2306.09884 GitHub: github.com/instadeepai/ju…

It was a pleasure to have David Abel present this work last October at SPIKE! 📽️ The recording of the talk is now available: youtube.com/watch?v=XWxP_q… Don't miss their poster at #NeurIPS2025 🚀