Prithviraj Ammanabrolu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 60

Top Topics

Reinforcement Learning

Embodied Agents

Top Venues

Publications

Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi 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 (2023)
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)
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)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill 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)
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)
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)
Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
Behavior Cloned Transformers are Neurosymbolic Reasoners. EACL (2023)
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)
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 (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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 (2023)
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)
Ruoyao Wang, Peter A. Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
ScienceWorld: Is your Agent Smarter than a 5th Grader? EMNLP (2022)
Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl
Situated Dialogue Learning through Procedural Environment Generation. ACL (1) (2022)
Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions. CoRR (2022)
Ruoyao Wang, Peter A. Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
Behavior Cloned Transformers are Neurosymbolic Reasoners. CoRR (2022)
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 (2022)
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 (2022)
Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi
Aligning to Social Norms and Values in Interactive Narratives. NAACL-HLT (2022)
Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
Quark: Controllable Text Generation with Reinforced Unlearning. CoRR (2022)
Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu
Inherently Explainable Reinforcement Learning in Natural Language. NeurIPS (2022)
Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi
Aligning to Social Norms and Values in Interactive Narratives. CoRR (2022)
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 (2022)
Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu
ScienceWorld: Is your Agent Smarter than a 5th Grader? CoRR (2022)
Prithviraj Ammanabrolu, Mark O. Riedl
Modeling Worlds in Text. NeurIPS Datasets and Benchmarks (2021)
Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl
Situated Dialogue Learning through Procedural Environment Generation. CoRR (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Modeling Worlds in Text. CoRR (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Situated language learning via interactive narratives. Patterns 2 (9) (2021)
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)
Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl
Automated Storytelling via Causal, Commonsense Plot Ordering. AAAI (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Learning Knowledge Graph-based World Models of Textual Environments. NeurIPS (2021)
Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl
Telling Stories through Multi-User Dialogue by Modeling Character Relations. CoRR (2021)
Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu
Inherently Explainable Reinforcement Learning in Natural Language. CoRR (2021)
Wai Man Si, Prithviraj Ammanabrolu, Mark Riedl
Telling Stories through Multi-User Dialogue by Modeling Character Relations. SIGDIAL (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Situated Language Learning via Interactive Narratives. CoRR (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Learning Knowledge Graph-based World Models of Textual Environments. CoRR (2021)
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)
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 (2020)
Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl
Bringing Stories Alive: Generating Interactive Fiction Worlds. CoRR (2020)
Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
Interactive Fiction Games: A Colossal Adventure. AAAI (2020)
Sahith N. Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl
Playing Text-Based Games with Common Sense. CoRR (2020)
Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl
Automated Storytelling via Causal, Commonsense Plot Ordering. CoRR (2020)
Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl
Bringing Stories Alive: Generating Interactive Fiction Worlds. AIIDE (2020)
Prithviraj Ammanabrolu, Matthew J. Hausknecht
Graph Constrained Reinforcement Learning for Natural Language Action Spaces. ICLR (2020)
Prithviraj Ammanabrolu, Matthew J. Hausknecht
Graph Constrained Reinforcement Learning for Natural Language Action Spaces. CoRR (2020)
Prithviraj Ammanabrolu, Ethan Tien, Zhaochen Luo, Mark O. Riedl
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents. CoRR (2020)
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 (2020)
Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl
Toward Automated Quest Generation in Text-Adventure Games. ICCC (2020)
Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl
Story Realization: Expanding Plot Events into Sentences. CoRR (2019)
Prithviraj Ammanabrolu, Mark O. Riedl
Transfer in Deep Reinforcement Learning using Knowledge Graphs. CoRR (2019)
Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl
Toward Automated Quest Generation in Text-Adventure Games. CoRR (2019)
Prithviraj Ammanabrolu, Mark Riedl
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. NAACL-HLT (1) (2019)
Prithviraj Ammanabrolu, Mark Riedl
Transfer in Deep Reinforcement Learning Using Knowledge Graphs. TextGraphs@EMNLP (2019)
Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
Interactive Fiction Games: A Colossal Adventure. CoRR (2019)
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)
Prithviraj Ammanabrolu, Mark O. Riedl
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. CoRR (2018)
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 (2017)