Archit Sharma

According to our database, Archit Sharma authored at least 27 papers between 2018 and 2024.

Collaborative distances:

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

2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, et al.

CoRR, 2024

Yell At Your Robot: Improving On-the-Fly from Language Corrections.

Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, Chelsea Finn

CoRR, 2024

A Critical Evaluation of AI Feedback for Aligning Large Language Models.

Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar

CoRR, 2024

RLVF: Learning from Verbal Feedback without Overgeneralization.

Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn

CoRR, 2024

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.

Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine

CoRR, 2024

2023

Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment.

Annie S. Chen, Govind Chada, Laura M. Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn

CoRR, 2023

Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning.

Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn

CoRR, 2023

An Emulator for Fine-Tuning Large Language Models using Small Language Models.

Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning

CoRR, 2023

Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias.

Max Sobol Mark, Archit Sharma, Fahim Tajwar, Rafael Rafailov, Sergey Levine, Chelsea Finn

CoRR, 2023

Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D. Manning, Stefano Ermon, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Waypoint-Based Imitation Learning for Robotic Manipulation.

Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn

Proceedings of the Conference on Robot Learning, 2023

Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning.

Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn

Proceedings of the Conference on Robot Learning, 2023

APTSumm at BioLaySumm Task 1: Biomedical Breakdown, Improving Readability by Relevancy Based Selection.

A. S. Poornash, Atharva Deshmukh, Archit Sharma, Sriparna Saha

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning.

Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

You Only Live Once: Single-Life Reinforcement Learning.

Annie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning.

Archit Sharma, Rehaan Ahmad, Chelsea Finn

Proceedings of the International Conference on Machine Learning, 2022

Autonomous Reinforcement Learning: Formalism and Benchmarking.

Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Persistent Reinforcement Learning via Subgoal Curricula.

Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn

CoRR, 2021

Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning.

Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu

CoRR, 2021

Discriminator Augmented Model-Based Reinforcement Learning.

Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn

CoRR, 2021

Autonomous Reinforcement Learning via Subgoal Curricula.

Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning.

Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning.

Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu

Proceedings of the Robotics: Science and Systems XVI, 2020

Dynamics-Aware Unsupervised Discovery of Skills.

Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A flexible probabilistic framework for large-margin mixture of experts.

Archit Sharma, Siddhartha Saxena, Piyush Rai

Mach. Learn., 2019

2018

TrueChain: Highly Performant Decentralized Public Ledger.

Archit Sharma, Jasper L, Eric Zhang

CoRR, 2018