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2020 – today
- 2024
[j1]James F. Mullen Jr.
, Prasoon Goyal, Robinson Piramuthu, Michael Johnston, Dinesh Manocha, Reza Ghanadan:
"Don't Forget to Put the Milk Back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations. IEEE Robotics Autom. Lett. 9(10): 9087-9094 (2024)- [c8]Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan:
MICo: Preventative Detoxification of Large Language Models through Inhibition Control. NAACL-HLT (Findings) 2024: 1696-1703 - [i11]James F. Mullen Jr., Prasoon Goyal, Robinson Piramuthu, Michael Johnston, Dinesh Manocha, Reza Ghanadan:
"Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations. CoRR abs/2404.08827 (2024) - [i10]Vishnu Sashank Dorbala, Prasoon Goyal, Robinson Piramuthu, Michael Johnston, Dinesh Manocha, Reza Ghanadan:
S-EQA: Tackling Situational Queries in Embodied Question Answering. CoRR abs/2405.04732 (2024) - 2023
- [i9]Prasoon Goyal, Raymond J. Mooney, Scott Niekum:
Language-guided Task Adaptation for Imitation Learning. CoRR abs/2301.09770 (2023) - [i8]Hangjie Shi, Leslie Ball, Govind Thattai, Desheng Zhang, Lucy Hu, Qiaozi Gao, Suhaila Shakiah, Xiaofeng Gao, Aishwarya Padmakumar, Bofei Yang, Cadence Chung, Dinakar Guthy, Gaurav S. Sukhatme, Karthika Arumugam, Matthew Wen, Osman Ipek, Patrick Lange, Rohan Khanna, Shreyas Pansare, Vasu Sharma, Chao Zhang, Cris Flagg, Daniel Pressel, Lavina Vaz, Luke Dai, Prasoon Goyal, Sattvik Sahai, Shaohua Liu, Yao Lu, Anna Gottardi, Shui Hu, Yang Liu, Dilek Hakkani-Tur, Kate Bland, Heather Rocker, James Jeun, Yadunandana Rao, Michael Johnston, Akshaya Iyengar, Arindam Mandal, Prem Natarajan, Reza Ghanadan:
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI. CoRR abs/2308.05221 (2023) - 2022
- [i7]Vasu Sharma, Prasoon Goyal, Kaixiang Lin, Govind Thattai, Qiaozi Gao, Gaurav S. Sukhatme:
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. CoRR abs/2208.13626 (2022) - 2021
- [i6]Prasoon Goyal, Raymond J. Mooney, Scott Niekum:
Zero-shot Task Adaptation using Natural Language. CoRR abs/2106.02972 (2021) - 2020
- [c7]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. CoRL 2020: 485-497 - [i5]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. CoRR abs/2007.15543 (2020)
2010 – 2019
- 2019
- [c6]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. IJCAI 2019: 2385-2391 - [i4]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. CoRR abs/1903.02020 (2019) - 2017
- [c5]Lars Hellsten, Brian Roark, Prasoon Goyal, Cyril Allauzen, Françoise Beaufays, Tom Ouyang, Michael Riley, David Rybach:
Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers. FSMNLP 2017: 10-19 - [c4]Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon:
Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning. ICCV 2017: 5104-5112 - [i3]Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing:
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning. CoRR abs/1703.07027 (2017) - 2016
- [i2]Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, Karol Zieba:
End to End Learning for Self-Driving Cars. CoRR abs/1604.07316 (2016) - 2015
- [c3]Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri:
Kernel Extraction via Voted Risk Minimization. FE@NIPS 2015: 72-89 - [i1]Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri:
Voted Kernel Regularization. CoRR abs/1509.04340 (2015) - 2014
- [c2]Happy Mittal, Prasoon Goyal, Vibhav Gogate, Parag Singla:
New Rules for Domain Independent Lifted MAP Inference. NIPS 2014: 649-657 - 2013
- [c1]Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma:
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction. ICML (3) 2013: 486-494
Coauthor Index
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