Παρακολούθηση
Graham Todd
Graham Todd
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nyu.edu
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Παρατίθεται από
Παρατίθεται από
Έτος
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
642023
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
292024
Interaction between evolution and learning in nk fitness landscapes
G Todd, M Candadai, EJ Izquierdo
Artificial Life Conference Proceedings 32, 761-767, 2020
122020
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
62023
Can Language Models Serve as Text-Based World Simulators?
R Wang, G Todd, Z Xiao, X Yuan, MA Côté, P Clark, P Jansen
arXiv preprint arXiv:2406.06485, 2024
32024
Goals as Reward-Producing Programs
G Davidson, G Todd, J Togelius, TM Gureckis, BM Lake
arXiv preprint arXiv:2405.13242, 2024
22024
Missed Connections: Lateral Thinking Puzzles for Large Language Models
G Todd, T Merino, S Earle, J Togelius
arXiv preprint arXiv:2404.11730, 2024
22024
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
22022
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
GAVEL: Generating Games Via Evolution and Language Models
G Todd, A Padula, M Stephenson, É Piette, DJNJ Soemers, J Togelius
arXiv preprint arXiv:2407.09388, 2024
12024
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
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
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, 0
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