Himanshu Sahni

According to our database, Himanshu Sahni authored at least 15 papers between 2014 and 2023.

Collaborative distances:

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

2023

Vision-Language Models as a Source of Rewards.

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

CoRR, 2023

In-context Reinforcement Learning with Algorithm Distillation.

Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan A. Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Task Generalized MDPs for Multi-Task Reinforcement Learning.

Himanshu Sahni

PhD thesis, 2022

2021

Hard Attention Control By Mutual Information Maximization.

Himanshu Sahni, Charles Isbell

CoRR, 2021

2020

Estimating Q(s,s') with Deep Deterministic Dynamics Gradients.

Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Visual Hindsight Experience Replay.

Himanshu Sahni, Toby Buckley, Pieter Abbeel, Ilya Kuzovkin

CoRR, 2019

Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs.

Himanshu Sahni, Toby Buckley, Pieter Abbeel, Ilya Kuzovkin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Imitating Latent Policies from Observation.

Ashley D. Edwards, Himanshu Sahni, Yannick Schroecker, Charles L. Isbell Jr.

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Learning to Compose Skills.

Himanshu Sahni, Saurabh Kumar, Farhan Tejani, Charles L. Isbell Jr.

CoRR, 2017

State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning.

Himanshu Sahni, Saurabh Kumar, Farhan Tejani, Yannick Schroecker, Charles Lee Isbell Jr.

CoRR, 2017

2016

Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract).

Himanshu Sahni, Brent Harrison, Kaushik Subramanian, Thomas Cederborg, Charles L. Isbell Jr., Andrea Thomaz

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Toward Silent-Speech Control of Consumer Wearables.

Abdelkareem Bedri, Himanshu Sahni, Pavleen Thukral, Thad Starner, David Byrd, Peter Presti, Gabriel Reyes, Maysam Ghovanloo, Zehua Guo

Computer, 2015

Stick it in your ear: building an in-ear jaw movement sensor.

Abdelkareem Bedri, David Byrd, Peter Presti, Himanshu Sahni, Zehua Guo, Thad Starner

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Hand detection in American Sign Language depth data using domain-driven random forest regression.

Zahoor Zafrulla, Himanshu Sahni, Abdelkareem Bedri, Pavleen Thukral, Thad Starner

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014

The tongue and ear interface: a wearable system for silent speech recognition.

Himanshu Sahni, Abdelkareem Bedri, Gabriel Reyes, Pavleen Thukral, Zehua Guo, Thad Starner, Maysam Ghovanloo

Proceedings of the ISWC'14, 2014