Shikhar Bahl

According to our database, Shikhar Bahl authored at least 17 papers between 2018 and 2023.

Collaborative distances:

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

2023

DEFT: Dexterous Fine-Tuning for Real-World Hand Policies.

Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak

CoRR, 2023

Structured World Models from Human Videos.

Russell Mendonca, Shikhar Bahl, Deepak Pathak

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

ALAN: Autonomously Exploring Robotic Agents in the Real World.

Russell Mendonca, Shikhar Bahl, Deepak Pathak

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Efficient RL via Disentangled Environment and Agent Representations.

Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak

Proceedings of the International Conference on Machine Learning, 2023

Affordances from Human Videos as a Versatile Representation for Robotics.

Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, Deepak Pathak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DEFT: Dexterous Fine-Tuning for Hand Policies.

Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak

Proceedings of the Conference on Robot Learning, 2023

PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play.

Lili Chen, Shikhar Bahl, Deepak Pathak

Proceedings of the Conference on Robot Learning, 2023

2022

Human-to-Robot Imitation in the Wild.

Shikhar Bahl, Abhinav Gupta, Deepak Pathak

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

VideoDex: Learning Dexterity from Internet Videos.

Kenneth Shaw, Shikhar Bahl, Deepak Pathak

Proceedings of the Conference on Robot Learning, 2022

2021

Hierarchical Neural Dynamic Policies.

Shikhar Bahl, Abhinav Gupta, Deepak Pathak

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

RB2: Robotic Manipulation Benchmarking with a Twist.

Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Neural Dynamic Policies for End-to-End Sensorimotor Learning.

Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards.

Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning.

Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine

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

2019

Residual Reinforcement Learning for Robot Control.

Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

Contextual Imagined Goals for Self-Supervised Robotic Learning.

Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Visual Reinforcement Learning with Imagined Goals.

Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018