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ORCIDPrithviraj Ammanabrolu
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2020 – today
- 2024
[i34]Nikita Haduong, Irene Wang, Bo-Ru Lu, Prithviraj Ammanabrolu, Noah A. Smith:
CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks. CoRR abs/2408.08853 (2024)- [i33]Zachary Ankner, Mansheej Paul, Brandon Cui, Jonathan D. Chang, Prithviraj Ammanabrolu:
Critique-out-Loud Reward Models. CoRR abs/2408.11791 (2024) - 2023
- [j2]Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi:
InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions. Trans. Assoc. Comput. Linguistics 11: 453-468 (2023) - [c26]Pei Zhou, Andrew Zhu
, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. ACL (1) 2023: 11136-11155 - [c25]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. CVPR 2023: 10845-10856 - [c24]Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu:
Behavior Cloned Transformers are Neurosymbolic Reasoners. EACL 2023: 2769-2780 - [c23]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP 2023: 6863-6883 - [c22]Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi:
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. ICLR 2023 - [c21]Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox:
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. ICML 2023: 26311-26325 - [c20]Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren:
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. NeurIPS 2023 - [c19]Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi:
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. NeurIPS 2023 - [i32]Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox:
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling. CoRR abs/2301.12050 (2023) - [i31]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR abs/2305.15065 (2023) - [i30]Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. CoRR abs/2305.17390 (2023) - [i29]Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi:
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. CoRR abs/2306.01693 (2023) - [i28]Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu:
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging. CoRR abs/2310.11564 (2023) - 2022
- [c18]Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl:
Situated Dialogue Learning through Procedural Environment Generation. ACL (1) 2022: 8099-8116 - [c17]Ruoyao Wang, Peter A. Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu:
ScienceWorld: Is your Agent Smarter than a 5th Grader? EMNLP 2022: 11279-11298 - [c16]Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi:
Aligning to Social Norms and Values in Interactive Narratives. NAACL-HLT 2022: 5994-6017 - [c15]Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi:
QUARK: Controllable Text Generation with Reinforced Unlearning. NeurIPS 2022 - [c14]Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu:
Inherently Explainable Reinforcement Learning in Natural Language. NeurIPS 2022 - [i27]Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu:
ScienceWorld: Is your Agent Smarter than a 5th Grader? CoRR abs/2203.07540 (2022) - [i26]Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi:
Aligning to Social Norms and Values in Interactive Narratives. CoRR abs/2205.01975 (2022) - [i25]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Multimodal Knowledge Alignment with Reinforcement Learning. CoRR abs/2205.12630 (2022) - [i24]Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi:
Quark: Controllable Text Generation with Reinforced Unlearning. CoRR abs/2205.13636 (2022) - [i23]Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi:
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions. CoRR abs/2207.00746 (2022) - [i22]Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi:
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. CoRR abs/2210.01241 (2022) - [i21]Ruoyao Wang, Peter A. Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu:
Behavior Cloned Transformers are Neurosymbolic Reasoners. CoRR abs/2210.07382 (2022) - [i20]Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. CoRR abs/2212.10060 (2022) - 2021
- [b1]Prithviraj Ammanabrolu:
Language Learning in Interactive Environments. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [j1]Prithviraj Ammanabrolu, Mark O. Riedl:
Situated language learning via interactive narratives. Patterns 2(9): 100316 (2021) - [c13]Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl:
Automated Storytelling via Causal, Commonsense Plot Ordering. AAAI 2021: 5859-5867 - [c12]Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston:
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. NAACL-HLT 2021: 807-833 - [c11]Prithviraj Ammanabrolu, Mark O. Riedl:
Learning Knowledge Graph-based World Models of Textual Environments. NeurIPS 2021: 3720-3731 - [c10]Prithviraj Ammanabrolu, Mark O. Riedl:
Modeling Worlds in Text. NeurIPS Datasets and Benchmarks 2021 - [c9]Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl:
Telling Stories through Multi-User Dialogue by Modeling Character Relations. SIGDIAL 2021: 269-275 - [i19]Prithviraj Ammanabrolu, Mark O. Riedl:
Situated Language Learning via Interactive Narratives. CoRR abs/2103.09977 (2021) - [i18]Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl:
Telling Stories through Multi-User Dialogue by Modeling Character Relations. CoRR abs/2105.15054 (2021) - [i17]Prithviraj Ammanabrolu, Mark O. Riedl:
Modeling Worlds in Text. CoRR abs/2106.09578 (2021) - [i16]Prithviraj Ammanabrolu, Mark O. Riedl:
Learning Knowledge Graph-based World Models of Textual Environments. CoRR abs/2106.09608 (2021) - [i15]Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl:
Situated Dialogue Learning through Procedural Environment Generation. CoRR abs/2110.03262 (2021) - [i14]Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu:
Inherently Explainable Reinforcement Learning in Natural Language. CoRR abs/2112.08907 (2021) - 2020
- [c8]Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl:
Story Realization: Expanding Plot Events into Sentences. AAAI 2020: 7375-7382 - [c7]Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan:
Interactive Fiction Games: A Colossal Adventure. AAAI 2020: 7903-7910 - [c6]Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl:
Bringing Stories Alive: Generating Interactive Fiction Worlds. AIIDE 2020: 3-9 - [c5]Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl:
Toward Automated Quest Generation in Text-Adventure Games. ICCC 2020: 131-138 - [c4]Prithviraj Ammanabrolu, Matthew J. Hausknecht:
Graph Constrained Reinforcement Learning for Natural Language Action Spaces. ICLR 2020 - [i13]Prithviraj Ammanabrolu, Matthew J. Hausknecht:
Graph Constrained Reinforcement Learning for Natural Language Action Spaces. CoRR abs/2001.08837 (2020) - [i12]Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl:
Bringing Stories Alive: Generating Interactive Fiction Worlds. CoRR abs/2001.10161 (2020) - [i11]Prithviraj Ammanabrolu, Ethan Tien, Zhaochen Luo, Mark O. Riedl:
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents. CoRR abs/2002.08795 (2020) - [i10]Prithviraj Ammanabrolu, Ethan Tien, Matthew J. Hausknecht, Mark O. Riedl:
How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds. CoRR abs/2006.07409 (2020) - [i9]Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl:
Automated Storytelling via Causal, Commonsense Plot Ordering. CoRR abs/2009.00829 (2020) - [i8]Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston:
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. CoRR abs/2010.00685 (2020) - [i7]Sahith N. Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Based Games with Common Sense. CoRR abs/2012.02757 (2020)
2010 – 2019
- 2019
- [c3]Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. NAACL-HLT (1) 2019: 3557-3565 - [c2]Prithviraj Ammanabrolu, Mark O. Riedl:
Transfer in Deep Reinforcement Learning Using Knowledge Graphs. TextGraphs@EMNLP 2019: 1-10 - [i6]Prithviraj Ammanabrolu, Mark O. Riedl:
Transfer in Deep Reinforcement Learning using Knowledge Graphs. CoRR abs/1908.06556 (2019) - [i5]Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl:
Story Realization: Expanding Plot Events into Sentences. CoRR abs/1909.03480 (2019) - [i4]Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan:
Interactive Fiction Games: A Colossal Adventure. CoRR abs/1909.05398 (2019) - [i3]Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl:
Toward Automated Quest Generation in Text-Adventure Games. CoRR abs/1909.06283 (2019) - 2018
- [c1]Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl:
Event Representations for Automated Story Generation with Deep Neural Nets. AAAI 2018: 868-875 - [i2]Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. CoRR abs/1812.01628 (2018) - 2017
- [i1]Lara J. Martin, Prithviraj Ammanabrolu, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl:
Event Representations for Automated Story Generation with Deep Neural Nets. CoRR abs/1706.01331 (2017)
Coauthor Index
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