David J. Wu

According to our database, David J. Wu authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Update Equivalence Framework for Decision-Time Planning.

Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown

CoRR, 2023

Abstracting Imperfect Information Away from Two-Player Zero-Sum Games.

Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown

Proceedings of the International Conference on Machine Learning, 2023

Adversarial Diversity in Hanabi.

Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Human-AI Coordination via Human-Regularized Search and Learning.

Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown

CoRR, 2022

Self-Explaining Deviations for Coordination.

Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modeling Strong and Human-Like Gameplay with KL-Regularized Search.

Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown

Proceedings of the International Conference on Machine Learning, 2022

A Fine-Tuning Approach to Belief State Modeling.

Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Modeling Strong and Human-Like Gameplay with KL-Regularized Search.

Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Anton Bakhtin, Jacob Andreas, Noam Brown

CoRR, 2021

Off-Belief Learning.

Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David J. Wu, Noam Brown, Jakob N. Foerster

CoRR, 2021

No-Press Diplomacy from Scratch.

Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Accelerating Self-Play Learning in Go.

David J. Wu

CoRR, 2019

2015

Designing a Winning Arimaa Program.

David J. Wu

J. Int. Comput. Games Assoc., 2015