Daphne Cornelisse

According to our database, Daphne Cornelisse authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving.

Aron Distelzweig, Faris Janjos, Andreas Look, Anna Rothenhäusler, Daniel Jost, Oliver Scheel, Raghu Rajan, Daphne Cornelisse, Eugene Vinitsky, Joschka Boedecker

CoRR, May, 2026

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic.

Saeed Rahmani, Shiva Rasouli, Daphne Cornelisse, Eugene Vinitsky, Bart van Arem, Simeon C. Calvert

CoRR, April, 2026

Learning to Drive in New Cities Without Human Demonstrations.

Zilin Wang, Saeed Rahmani, Daphne Cornelisse, Bidipta Sarkar, Alexander David Goldie, Jakob Nicolaus Foerster, Shimon Whiteson

CoRR, February, 2026

2025

Estimating cognitive biases with attention-aware inverse planning.

Sounak Banerjee, Daphne Cornelisse, Deepak Edakkattil Gopinath, Emily Sumner, Jonathan A. DeCastro, Guy Rosman, Eugene Vinitsky, Mark K. Ho

CoRR, October, 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