Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

1 code implementation • 11 Oct 2022 • Anton Bakhtin, David J Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H Miller, Noam Brown

We then show that DiL-piKL can be extended into a self-play reinforcement learning algorithm we call RL-DiL-piKL that provides a model of human play while simultaneously training an agent that responds well to this human model.

reinforcement-learning Reinforcement Learning (RL)

Human-AI Coordination via Human-Regularized Search and Learning

no code implementations • 11 Oct 2022 • Hengyuan Hu, David J Wu, Adam Lerer, Jakob Foerster, Noam Brown

First, we show that our method outperforms experts when playing with a group of diverse human players in ad-hoc teams.

A Fine-Tuning Approach to Belief State Modeling

no code implementations • ICLR 2022 • Samuel Sokota, Hengyuan Hu, David J Wu, J Zico Kolter, Jakob Nicolaus Foerster, Noam Brown

Furthermore, because this specialization occurs after the action or policy has already been decided, BFT does not require the belief model to process it as input.