Human-level play in the game of Diplomacy by combining language models with strategic reasoning

1 code implementation • Science 2022 • Anton Bakhtin, Noam Brown, Emily Dinan, Gabriele Farina, Colin Flaherty, Daniel Fried, Andrew Goff, Jonathan Gray, Hengyan Hu, Athul Paul Jacob, Mojtaba Komeili, Karthik Konath, Minae Kwon, Adam Lerer, Mike Lewis, Alexander H. Miller, Sash Mitts, Aditya Renduchintala, Stephen Roller, Dirk Rowe, Weiyan Shi, Joe Spisak, Alexander Wei, David Wu, Hugh Zhang, Markus Zijlstra

Despite much progress in training AI systems to imitate human language, building agents that use language to communicate intentionally with humans in interactive environments remains a major challenge.

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-Level Performance in No-Press Diplomacy via Equilibrium Search

no code implementations • ICLR 2021 • Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown

Prior AI breakthroughs in complex games have focused on either the purely adversarial or purely cooperative settings.

CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant

no code implementations • ACL 2020 • Kavya Srinet, Yacine Jernite, Jonathan Gray, Arthur Szlam

We propose a semantic parsing dataset focused on instruction-driven communication with an agent in the game Minecraft.

Semantic Parsing

Why Build an Assistant in Minecraft?

1 code implementation • 22 Jul 2019 • Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, C. Lawrence Zitnick, Jason Weston

In this document we describe a rationale for a research program aimed at building an open "assistant" in the game Minecraft, in order to make progress on the problems of natural language understanding and learning from dialogue.

Natural Language Understanding

CraftAssist: A Framework for Dialogue-enabled Interactive Agents

3 code implementations • 19 Jul 2019 • Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam

This paper describes an implementation of a bot assistant in Minecraft, and the tools and platform allowing players to interact with the bot and to record those interactions.

CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant

no code implementations • 17 Apr 2019 • Yacine Jernite, Kavya Srinet, Jonathan Gray, Arthur Szlam

We propose a large scale semantic parsing dataset focused on instruction-driven communication with an agent in Minecraft.

Semantic Parsing