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ORCIDHimanshu Sahni
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2020 – today
- 2023
[c8]Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih:
In-context Reinforcement Learning with Algorithm Distillation. ICLR 2023- [i8]Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang:
Vision-Language Models as a Source of Rewards. CoRR abs/2312.09187 (2023) - 2022
- [b1]Himanshu Sahni:
Task Generalized MDPs for Multi-Task Reinforcement Learning. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [i7]Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih:
In-context Reinforcement Learning with Algorithm Distillation. CoRR abs/2210.14215 (2022) - 2021
- [i6]Himanshu Sahni, Charles Isbell:
Hard Attention Control By Mutual Information Maximization. CoRR abs/2103.06371 (2021) - 2020
- [c7]Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski:
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients. ICML 2020: 2825-2835 - [i5]Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski:
Estimating Q(s, s') with Deep Deterministic Dynamics Gradients. CoRR abs/2002.09505 (2020)
2010 – 2019
- 2019
- [c6]Ashley D. Edwards, Himanshu Sahni, Yannick Schroecker, Charles L. Isbell Jr.:
Imitating Latent Policies from Observation. ICML 2019: 1755-1763 - [c5]Himanshu Sahni, Toby Buckley, Pieter Abbeel, Ilya Kuzovkin:
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs. NeurIPS 2019: 5823-5833 - [i4]Himanshu Sahni, Toby Buckley, Pieter Abbeel, Ilya Kuzovkin:
Visual Hindsight Experience Replay. CoRR abs/1901.11529 (2019) - 2018
- [i3]Ashley D. Edwards, Himanshu Sahni, Yannick Schroecker, Charles L. Isbell Jr.:
Imitating Latent Policies from Observation. CoRR abs/1805.07914 (2018) - 2017
- [i2]Himanshu Sahni, Saurabh Kumar, Farhan Tejani, Yannick Schroecker, Charles Lee Isbell Jr.:
State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning. CoRR abs/1705.08997 (2017) - [i1]Himanshu Sahni, Saurabh Kumar, Farhan Tejani, Charles L. Isbell Jr.:
Learning to Compose Skills. CoRR abs/1711.11289 (2017) - 2016
- [c4]Himanshu Sahni, Brent Harrison, Kaushik Subramanian, Thomas Cederborg, Charles L. Isbell Jr., Andrea Thomaz:
Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract). AAMAS 2016: 1455-1456 - 2015
- [j1]Abdelkareem Bedri, Himanshu Sahni, Pavleen Thukral, Thad Starner, David Byrd, Peter Presti, Gabriel Reyes, Maysam Ghovanloo, Zehua Guo:
Toward Silent-Speech Control of Consumer Wearables. Computer 48(10): 54-62 (2015) - [c3]Zahoor Zafrulla, Himanshu Sahni, Abdelkareem Bedri, Pavleen Thukral, Thad Starner:
Hand detection in American Sign Language depth data using domain-driven random forest regression. FG 2015: 1-7 - [c2]Abdelkareem Bedri, David Byrd, Peter Presti, Himanshu Sahni, Zehua Guo, Thad Starner:
Stick it in your ear: building an in-ear jaw movement sensor. UbiComp/ISWC Adjunct 2015: 1333-1338 - 2014
- [c1]Himanshu Sahni, Abdelkareem Bedri, Gabriel Reyes, Pavleen Thukral, Zehua Guo, Thad Starner, Maysam Ghovanloo:
The tongue and ear interface: a wearable system for silent speech recognition. ISWC 2014: 47-54
Coauthor Index
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