Prithviraj Ammanabrolu

According to our database, Prithviraj Ammanabrolu authored at least 38 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Critique-out-Loud Reward Models.

Zachary Ankner, Mansheej Paul, Brandon Cui, Jonathan D. Chang, Prithviraj Ammanabrolu

CoRR, 2024

CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks.

Nikita Haduong, Irene Wang, Bo-Ru Lu, Prithviraj Ammanabrolu, Noah A. Smith

CoRR, 2024

2023

InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions.

Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi

Trans. Assoc. Comput. Linguistics, 2023

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu

CoRR, 2023

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training.

Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.

Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling.

Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox

Proceedings of the International Conference on Machine Learning, 2023

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization.

Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Behavior Cloned Transformers are Neurosymbolic Reasoners.

Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.

Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.

Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu

CoRR, 2022

Multimodal Knowledge Alignment with Reinforcement Learning.

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi

CoRR, 2022

Inherently Explainable Reinforcement Learning in Natural Language.

Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

QUARK: Controllable Text Generation with Reinforced Unlearning.

Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Aligning to Social Norms and Values in Interactive Narratives.

Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ScienceWorld: Is your Agent Smarter than a 5th Grader?

Ruoyao Wang, Peter A. Jansen, Marc-Alexandre Côté, Prithviraj Ammanabrolu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Situated Dialogue Learning through Procedural Environment Generation.

Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Language Learning in Interactive Environments.

Prithviraj Ammanabrolu

PhD thesis, 2021

Situated language learning via interactive narratives.

Prithviraj Ammanabrolu, Mark O. Riedl

Patterns, 2021

Telling Stories through Multi-User Dialogue by Modeling Character Relations.

Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Modeling Worlds in Text.

Prithviraj Ammanabrolu, Mark O. Riedl

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Learning Knowledge Graph-based World Models of Textual Environments.

Prithviraj Ammanabrolu, Mark O. Riedl

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds.

Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Automated Storytelling via Causal, Commonsense Plot Ordering.

Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Playing Text-Based Games with Common Sense.

Sahith N. Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl

CoRR, 2020

How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds.

Prithviraj Ammanabrolu, Ethan Tien, Matthew J. Hausknecht, Mark O. Riedl

CoRR, 2020

How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents.

Prithviraj Ammanabrolu, Ethan Tien, Zhaochen Luo, Mark O. Riedl

CoRR, 2020

Graph Constrained Reinforcement Learning for Natural Language Action Spaces.

Prithviraj Ammanabrolu, Matthew J. Hausknecht

Proceedings of the 8th International Conference on Learning Representations, 2020

Toward Automated Quest Generation in Text-Adventure Games.

Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Bringing Stories Alive: Generating Interactive Fiction Worlds.

Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl

Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

Interactive Fiction Games: A Colossal Adventure.

Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Story Realization: Expanding Plot Events into Sentences.

Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Transfer in Deep Reinforcement Learning Using Knowledge Graphs.

Prithviraj Ammanabrolu, Mark O. Riedl

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning.

Prithviraj Ammanabrolu, Mark O. Riedl

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Event Representations for Automated Story Generation with Deep Neural Nets.

Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Event Representations for Automated Story Generation with Deep Neural Nets.

Lara J. Martin, Prithviraj Ammanabrolu, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl

CoRR, 2017