Daphne Cornelisse

According to our database, Daphne Cornelisse authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

Building reliable sim driving agents by scaling self-play.

Daphne Cornelisse, Aarav Pandya, Kevin Joseph, Joseph Suárez, Eugene Vinitsky

CoRR, February, 2025

GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS.

Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Human-compatible driving partners through data-regularized self-play reinforcement learning.

Daphne Cornelisse, Eugene Vinitsky

CoRR, 2024

Human-compatible driving agents through data-regularized self-play reinforcement learning.

Daphne Cornelisse, Eugene Vinitsky

RLJ, 2024

Pruning Neural Networks Using Cooperative Game Theory.

Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Using Cooperative Game Theory to Prune Neural Networks.

Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman

CoRR, 2023

2022

Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members.

Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman

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