David Wu
Also known as David J. Wu
David Wu co-wrote AI papers on the game Diplomacy and on human-AI coordination. In 2021 they co-wrote No-Press Diplomacy from Scratch, a NeurIPS 2021 paper. Two NeurIPS 2022 workshop posters came next, one on Human-AI Coordination via Human-Regularized Search and Learning and one on Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. In 2023 an ICLR poster presented Adversarial Diversity in Hanabi, and ICLR 2023 gave Mastering the Game of No-Press Diplomacy an honorable mention.
- Works
- 25
Publication numbers from OpenAlex, as of 15 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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2021
No-press Diplomacy from scratch
In 2021 they co-write No-Press Diplomacy from Scratch, a NeurIPS 2021 paper, with Anton Bakhtin, Adam Lerer and Noam Brown.
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2022
Human-AI coordination via search
A NeurIPS 2022 workshop poster presents Human-AI Coordination via Human-Regularized Search and Learning, with David Wu alongside Hengyuan Hu, Adam Lerer, Jakob Foerster and Noam Brown.
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2022
Mastering no-press Diplomacy
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning appears as a NeurIPS 2022 Deep Reinforcement Learning Workshop poster, with Anton Bakhtin, David Wu and Adam Lerer among its authors.
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2023
Adversarial diversity in Hanabi
An ICLR 2023 in-person poster presents Adversarial Diversity in Hanabi, with David Wu among its authors alongside Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu and Jakob Foerster.
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2023
An ICLR honorable mention
ICLR 2023 gives Mastering the Game of No-Press Diplomacy an honorable mention, and David Wu is one of its authors.
Sources and credits
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- Anton Bakhtin, David Wu, Adam Lerer, Noam Brown · No-Press Diplomacy from Scratch · SlidesLive
- NeurIPS Human-AI Coordination via Human-Regularized Search and Learning
- NeurIPS Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
- ICLR Poster Adversarial Diversity in Hanabi
- ICLR 2023 Awards