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Graham Todd
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Level Generation Through Large Language Models
G Todd, S Earle, MU Nasir, MC Green, J Togelius
Proceedings of the 18th International Conference on the Foundations of …, 2023
342023
Interaction between evolution and learning in nk fitness landscapes
G Todd, M Candadai, EJ Izquierdo
Artificial Life Conference Proceedings 32, 761-767, 2020
102020
Large Language Models and Games: A Survey and Roadmap
R Gallotta, G Todd, M Zammit, S Earle, A Liapis, J Togelius, ...
arXiv preprint arXiv:2402.18659, 2024
42024
Unsupervised Anomaly Detection in Parole Hearings using Language Models
G Todd, C Voss, J Hong
Proceedings of the Fourth Workshop on Natural Language Processing and …, 2020
22020
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games
R Wang, G Todd, E Yuan, Z Xiao, MA Côté, P Jansen
arXiv preprint arXiv:2305.14879, 2023
12023
Towards Knowledge-Graph Constrained Generation for Text Adventure Games
G Todd, Z Cheng, Y Liu, J Togelius
The Third Wordplay: When Language Meets Games Workshop, 2022
12022
MuML: Musical Meta-Learning
O Gul, C Schlager, G Todd, S Deparment
2021-10-01)[2023-04-11]. https://vdocuments. mx/muml-musical-meta-learning …, 0
1
Generating Human-Like Goals by Synthesizing Reward-Producing Programs
G Davidson, G Todd, T Gureckis, J Togelius, B Lake
Intrinsically-Motivated and Open-Ended Learning Workshop@ NeurIPS2023, 2023
2023
Analyzing Parole Hearings with Natural Language Processing
G Todd
Stanford University, 2021
2021
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents
G Todd, S Steinert-Threlkeld, C Potts
arXiv preprint arXiv:2012.04107, 2020
2020
CS 224W PROJECT REPORT: PREDICTING MICROBE
G Blake, K Hatch, G Todd
2019
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Artikelen 1–11