Publications

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survey deep-rl multi-agent-rl agent-modelling ad-hoc-teamwork autonomous-driving goal-recognition explainable-ai causal generalisation security emergent-communication iterated-learning intrinsic-reward simulator state-estimation

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explainable-ai Cheng-Wang Shay-B.-Cohen

2023

Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making
arXiv:2302.10809, 2023
Abstract | BibTex | arXiv | Code
autonomous-driving explainable-ai causal

@misc{gyevnar2023causal,
   title={Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making},
   author={Balint Gyevnar and Cheng Wang and Christopher G. Lucas and Shay B. Cohen and Stefano V. Albrecht},
   eprint={2302.10809},
   archivePrefix={arXiv}
   year={2023}
}

2022

Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning
IJCAI Workshop on Artificial Intelligence for Autonomous Driving, 2022
Abstract | BibTex | arXiv | Code
IJCAI autonomous-driving explainable-ai causal

@inproceedings{gyevnar2022humancentric,
   title={A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning},
   author={Balint Gyevnar and Massimiliano Tamborski and Cheng Wang and Christopher G. Lucas and Shay B. Cohen and Stefano V. Albrecht},
   booktitle={IJCAI Workshop on Artificial Intelligence for Autonomous Driving},
   year={2022}
}