Prasoon Goyal

According to our database, Prasoon Goyal authored at least 14 papers between 2013 and 2023.

Collaborative distances:

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

2023

Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI.

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

CoRR, 2023

Language-guided Task Adaptation for Imitation Learning.

Prasoon Goyal, Raymond J. Mooney, Scott Niekum

CoRR, 2023

2022

CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning.

Vasu Sharma, Prasoon Goyal, Kaixiang Lin, Govind Thattai, Qiaozi Gao, Gaurav S. Sukhatme

CoRR, 2022

2021

Zero-shot Task Adaptation using Natural Language.

Prasoon Goyal, Raymond J. Mooney, Scott Niekum

CoRR, 2021

2020

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards.

Prasoon Goyal, Scott Niekum, Raymond J. Mooney

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Using Natural Language for Reward Shaping in Reinforcement Learning.

Prasoon Goyal, Scott Niekum, Raymond J. Mooney

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning.

Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing

CoRR, 2017

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning.

Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon

Proceedings of the IEEE International Conference on Computer Vision, 2017

Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers.

Lars Hellsten, Brian Roark, Prasoon Goyal, Cyril Allauzen, Françoise Beaufays, Tom Ouyang, Michael Riley, David Rybach

Proceedings of the 13th International Conference on Finite State Methods and Natural Language Processing, 2017

2016

End to End Learning for Self-Driving Cars.

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

CoRR, 2016

2015

Voted Kernel Regularization.

Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri

CoRR, 2015

Kernel Extraction via Voted Risk Minimization.

Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

2014

New Rules for Domain Independent Lifted MAP Inference.

Happy Mittal, Prasoon Goyal, Vibhav Gogate, Parag Singla

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction.

Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma

Proceedings of the 30th International Conference on Machine Learning, 2013