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Prithviraj Ammanabrolu
Prithviraj Ammanabrolu
在 ucsd.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
2402018
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
1402020
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
P Ammanabrolu, MO Riedl
North American Chapter of the Association for Computational Linguistics …, 2019
1352019
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
124*2022
Graph constrained reinforcement learning for natural language action spaces
P Ammanabrolu, M Hausknecht
International Conference on Learning Representations (ICLR-20), 2020
1032020
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
952022
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, 2024
73*2024
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
632020
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
632019
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
612021
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
55*2020
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
452020
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
43*2024
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
412020
Toward automated quest generation in text-adventure games
P Ammanabrolu, W Broniec, A Mueller, J Paul, MO Riedl
arXiv preprint arXiv:1909.06283, 2019
392019
ScienceWorld: Is your Agent Smarter than a 5th Grader?
R Wang, P Jansen, MA Côté, P Ammanabrolu
arXiv preprint arXiv:2203.07540, 2022
382022
Transfer in Deep Reinforcement Learning using Knowledge Graphs
P Ammanabrolu, MO Riedl
CoRR arXiv:abs/1908.06556, 2019
362019
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, ...
arXiv preprint arXiv:2301.12050, 2023
322023
Learning knowledge graph-based world models of textual environments
P Ammanabrolu, M Riedl
Advances in Neural Information Processing Systems 34, 3720-3731, 2021
312021
Guided neural language generation for automated storytelling
P Ammanabrolu, E Tien, W Cheung, Z Luo, W Ma, L Martin, M Riedl
Proceedings of the Second Workshop on Storytelling, 46-55, 2019
302019
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