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Jonathan Gray

3 accepted papers

2023

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

ICLR 2023top-5%

No-press Diplomacy is a complex strategy game involving both cooperation and competition that has served as a benchmark for multi-agent AI research. While self-play reinforcement learning has resulted in numerous successes in purely adversarial games like chess, Go, and poker, self-play alone is ins…

Cited by 55SourcePDFScholar
2021

Human-Level Performance in No-Press Diplomacy via Equilibrium Search

ICLR 2021oral

Prior AI breakthroughs in complex games have focused on either the purely adversarial or purely cooperative settings. In contrast, Diplomacy is a game of shifting alliances that involves both cooperation and competition. For this reason, Diplomacy has proven to be a formidable research challenge. In…

Cited by 60SourcePDFScholar
2019

Order-Aware Generative Modeling Using the 3D-Craft Dataset

ICCV 2019poster

In this paper, we study the problem of sequentially building houses in the game of Minecraft, and demonstrate that learning the ordering can make for more effective autoregressive models. Given a partially built house made by a human player, our system tries to place additional blocks in a human-lik…

Cited by 9PDFcodeScholar