Kumar Krishna Agrawal
Kumar Krishna Agrawal
Verified email at eecs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Gansynth: Adversarial neural audio synthesis
J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts
arXiv preprint arXiv:1902.08710, 2019
2252019
Discriminator-actor-critic: Addressing sample inefficiency and reward bias in adversarial imitation learning
I Kostrikov, KK Agrawal, D Dwibedi, S Levine, J Tompson
arXiv preprint arXiv:1809.02925, 2018
912018
Discrete flows: Invertible generative models of discrete data
D Tran, K Vafa, K Agrawal, L Dinh, B Poole
Advances in Neural Information Processing Systems 32, 14719-14728, 2019
542019
Addressing sample inefficiency and reward bias in inverse reinforcement learning
I Kostrikov, KK Agrawal, S Levine, J Tompson
arXiv preprint arXiv:1809.02925, 2018
92018
Recurrent Memory Addressing for Describing Videos.
AK Jain, A Agarwalla, KK Agrawal, P Mitra
CVPR Workshops 7, 2017
8*2017
Model ai assignments 2019
TW Neller, R Sooriamurthi, M Guerzhoy, L Zhang, P Talaga, C Archibald, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9751-9753, 2019
42019
Towards mixed optimization for reinforcement learning with program synthesis
S Bhupatiraju, KK Agrawal, R Singh
arXiv preprint arXiv:1807.00403, 2018
42018
Depth First Learning: Learning to Understand Machine Learning
A Oliver, S Bhupatiraju, C Resnick, KK Agrawal
12018
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
W Guo, KK Agrawal, A Grover, V Muthukumar, A Pananjady
arXiv preprint arXiv:2106.14866, 2021
2021
Model AI Assignments 2020
TW Neller, S Keeley, M Guerzhoy, W Hoenig, J Li, S Koenig, A Soni, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13509 …, 2020
2020
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