Prithviraj Ammanabrolu

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Mark RiedlProfessor of Computing, Georgia Institute of TechnologyAdresse e-mail validée de cc.gatech.edu
Yejin ChoiStanford University / NVIDIAAdresse e-mail validée de stanford.edu
Jack Hesselsamaya.aiAdresse e-mail validée de samaya.ai
Hannaneh HajishirziUniversity of Washington; Allen AIAdresse e-mail validée de cs.washington.edu
Zeqiu (Ellen) WuUniversity of WashingtonAdresse e-mail validée de uw.edu
Lara J. MartinAssistant Professor, University of Maryland, Baltimore CountyAdresse e-mail validée de umbc.edu
Marc-Alexandre CôtéMicrosoft ResearchAdresse e-mail validée de usherbrooke.ca
Matthew HausknechtLatitude AIAdresse e-mail validée de microsoft.com
Ethan TienGeorgia Institute of TechnologyAdresse e-mail validée de gatech.edu
Brent HarrisonAssistant Professor, University of KentuckyAdresse e-mail validée de cs.uky.edu
Xinyu(Lily) WangGraduate Student at Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Kianté BrantleyAssistant Professor, Harvard UniversityAdresse e-mail validée de g.harvard.edu
Xingdi YuanMicrosoft Research, MontrealAdresse e-mail validée de microsoft.com
Peter A JansenAssociate Professor, University of ArizonaAdresse e-mail validée de email.arizona.edu
Jason WestonMetaAdresse e-mail validée de fb.com
Tim RocktäschelDirector and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLISAdresse e-mail validée de cs.ucl.ac.uk
Jack UrbanekDatologyAIAdresse e-mail validée de datologyai.com
Arthur SzlamDeepMindAdresse e-mail validée de google.com
Margaret LiUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Xiangyu PengResearch Scientist at Salesforce ResearchAdresse e-mail validée de gatech.edu

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Prithviraj Ammanabrolu

Assistant Professor, University of California, San Diego

Adresse e-mail validée de ucsd.edu - Page d'accueil

Natural Language Processing Reinforcement Learning Interactive Narrative Knowledge Graphs


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Event Representations for Automated Story Generation with Deep Neural Nets LJ Martin, P Ammanabrolu, X Wang, W Hancock, S Singh, B Harrison, ... Thirty-Second AAAI Conference on Artificial Intelligence, 868-875, 2018	277	2018
Fine-grained human feedback gives better rewards for language model training Z Wu, Y Hu, W Shi, N Dziri, A Suhr, P Ammanabrolu, NA Smith, ... Advances in Neural Information Processing Systems 36, 59008-59033, 2023	265*	2023
Is reinforcement learning (not) for natural language processing: Benchmarks, baselines, and building blocks for natural language policy optimization R Ramamurthy, P Ammanabrolu, K Brantley, J Hessel, R Sifa, ... arXiv preprint arXiv:2210.01241, 2022	239*	2022
Interactive fiction games: A colossal adventure M Hausknecht, P Ammanabrolu, MA Côté, X Yuan Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7903-7910, 2020	200	2020
Quark: Controllable text generation with reinforced unlearning X Lu, S Welleck, J Hessel, L Jiang, L Qin, P West, P Ammanabrolu, Y Choi Advances in neural information processing systems 35, 27591-27609, 2022	186	2022
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning P Ammanabrolu, MO Riedl North American Chapter of the Association for Computational Linguistics …, 2019	155	2019
Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks BY Lin, Y Fu, K Yang, F Brahman, S Huang, C Bhagavatula, ... Advances in Neural Information Processing Systems 36, 2024	138*	2024
Graph constrained reinforcement learning for natural language action spaces P Ammanabrolu, M Hausknecht International Conference on Learning Representations (ICLR-20), 2020	128	2020
Scienceworld: Is your agent smarter than a 5th grader? R Wang, P Jansen, MA Côté, P Ammanabrolu arXiv preprint arXiv:2203.07540, 2022	100	2022
Personalized soups: Personalized large language model alignment via post-hoc parameter merging J Jang, S Kim, BY Lin, Y Wang, J Hessel, L Zettlemoyer, H Hajishirzi, ... arXiv preprint arXiv:2310.11564, 2023	89	2023
Techniques for building a knowledge graph in limited knowledge domains G Singaraju, PV Ammanabrolu US Patent 11,625,620, 2023	82	2023
Automated storytelling via causal, commonsense plot ordering P Ammanabrolu, W Cheung, W Broniec, MO Riedl Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 5859-5867, 2021	79	2021
Do embodied agents dream of pixelated sheep: Embodied decision making using language guided world modelling K Nottingham, P Ammanabrolu, A Suhr, Y Choi, H Hajishirzi, S Singh, ... International Conference on Machine Learning, 26311-26325, 2023	76	2023
Story Realization: Expanding Plot Events into Sentences. P Ammanabrolu, E Tien, W Cheung, Z Luo, W Ma, LJ Martin, MO Riedl AAAI, 7375-7382, 2020	76	2020
Story Realization: Expanding Plot Events into Sentences P Ammanabrolu, E Tien, W Cheung, Z Luo, W Ma, L Martin, M Riedl CoRR arXiv:abs/1909.03480, 2019	76	2019
Bringing stories alive: Generating interactive fiction worlds P Ammanabrolu, W Cheung, D Tu, W Broniec, M Riedl Proceedings of the AAAI Conference on Artificial Intelligence and …, 2020	69	2020
How to avoid being eaten by a grue: Structured exploration strategies for textual worlds P Ammanabrolu, E Tien, M Hausknecht, MO Riedl arXiv preprint arXiv:2006.07409, 2020	63*	2020
How to motivate your dragon: Teaching goal-driven agents to speak and act in fantasy worlds P Ammanabrolu, J Urbanek, M Li, A Szlam, T Rocktäschel, J Weston arXiv preprint arXiv:2010.00685, 2020	56	2020
Toward automated quest generation in text-adventure games P Ammanabrolu, W Broniec, A Mueller, J Paul, MO Riedl arXiv preprint arXiv:1909.06283, 2019	53	2019
Fusing pre-trained language models with multimodal prompts through reinforcement learning Y Yu, J Chung, H Yun, J Hessel, JS Park, X Lu, R Zellers, P Ammanabrolu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	50*	2023

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