| 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 | 255 | 2018 |
| 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 | 178* | 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 | 168 | 2020 |
| Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning P Ammanabrolu, MO Riedl North American Chapter of the Association for Computational Linguistics …, 2019 | 141 | 2019 |
| 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 | 132* | 2024 |
| 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 | 122 | 2022 |
| Graph constrained reinforcement learning for natural language action spaces P Ammanabrolu, M Hausknecht International Conference on Learning Representations (ICLR-20), 2020 | 112 | 2020 |
| 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 | 76* | 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 | 70 | 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 | 70 | 2019 |
| 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 | 66 | 2021 |
| Scienceworld: Is your agent smarter than a 5th grader? R Wang, P Jansen, MA Côté, P Ammanabrolu arXiv preprint arXiv:2203.07540, 2022 | 63 | 2022 |
| Techniques for building a knowledge graph in limited knowledge domains G Singaraju, PV Ammanabrolu US Patent 11,625,620, 2023 | 61 | 2023 |
| 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 | 57* | 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 | 49 | 2020 |
| 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 | 45 | 2023 |
| 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 | 45 | 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 | 43 | 2019 |
| 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 | 39 | 2023 |
| Transfer in Deep Reinforcement Learning using Knowledge Graphs P Ammanabrolu, MO Riedl CoRR arXiv:abs/1908.06556, 2019 | 38 | 2019 |
Mark RiedlProfessor of Computing, Georgia Institute of Technology在 cc.gatech.edu 的电子邮件经过验证
