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