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Archit Sharma
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2020 – today
- 2024
- [i23]Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine:
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. CoRR abs/2401.16013 (2024) - [i22]Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn:
RLVF: Learning from Verbal Feedback without Overgeneralization. CoRR abs/2402.10893 (2024) - [i21]Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar:
A Critical Evaluation of AI Feedback for Aligning Large Language Models. CoRR abs/2402.12366 (2024) - [i20]Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, Chelsea Finn:
Yell At Your Robot: Improving On-the-Fly from Language Corrections. CoRR abs/2403.12910 (2024) - [i19]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.:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. CoRR abs/2403.12945 (2024) - 2023
- [c13]A. S. Poornash, Atharva Deshmukh, Archit Sharma, Sriparna Saha:
APTSumm at BioLaySumm Task 1: Biomedical Breakdown, Improving Readability by Relevancy Based Selection. BioNLP@ACL 2023: 579-585 - [c12]Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn:
Waypoint-Based Imitation Learning for Robotic Manipulation. CoRL 2023: 2195-2209 - [c11]Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn:
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning. CoRL 2023: 3292-3308 - [c10]Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning:
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. EMNLP 2023: 5433-5442 - [c9]Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D. Manning, Stefano Ermon, Chelsea Finn:
Direct Preference Optimization: Your Language Model is Secretly a Reward Model. NeurIPS 2023 - [i18]Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn:
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning. CoRR abs/2303.01488 (2023) - [i17]Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning:
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. CoRR abs/2305.14975 (2023) - [i16]Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, Chelsea Finn:
Direct Preference Optimization: Your Language Model is Secretly a Reward Model. CoRR abs/2305.18290 (2023) - [i15]Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn:
Waypoint-Based Imitation Learning for Robotic Manipulation. CoRR abs/2307.14326 (2023) - [i14]Max Sobol Mark, Archit Sharma, Fahim Tajwar, Rafael Rafailov, Sergey Levine, Chelsea Finn:
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias. CoRR abs/2310.08558 (2023) - [i13]Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning:
An Emulator for Fine-Tuning Large Language Models using Small Language Models. CoRR abs/2310.12962 (2023) - [i12]Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn:
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning. CoRR abs/2310.15145 (2023) - [i11]Annie S. Chen, Govind Chada, Laura M. Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn:
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment. CoRR abs/2311.01059 (2023) - 2022
- [c8]Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn:
Autonomous Reinforcement Learning: Formalism and Benchmarking. ICLR 2022 - [c7]Archit Sharma, Rehaan Ahmad, Chelsea Finn:
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning. ICML 2022: 19645-19657 - [c6]Annie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn:
You Only Live Once: Single-Life Reinforcement Learning. NeurIPS 2022 - [c5]Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn:
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning. NeurIPS 2022 - [i10]Archit Sharma, Rehaan Ahmad, Chelsea Finn:
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning. CoRR abs/2205.05212 (2022) - [i9]Annie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn:
You Only Live Once: Single-Life Reinforcement Learning. CoRR abs/2210.08863 (2022) - [i8]Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn:
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning. CoRR abs/2210.10765 (2022) - 2021
- [c4]Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu:
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning. ICML 2021: 1953-1963 - [c3]Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn:
Autonomous Reinforcement Learning via Subgoal Curricula. NeurIPS 2021: 18474-18486 - [i7]Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn:
Discriminator Augmented Model-Based Reinforcement Learning. CoRR abs/2103.12999 (2021) - [i6]Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu:
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning. CoRR abs/2106.01404 (2021) - [i5]Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn:
Persistent Reinforcement Learning via Subgoal Curricula. CoRR abs/2107.12931 (2021) - [i4]Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn:
Autonomous Reinforcement Learning: Formalism and Benchmarking. CoRR abs/2112.09605 (2021) - 2020
- [c2]Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman:
Dynamics-Aware Unsupervised Discovery of Skills. ICLR 2020 - [c1]Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu:
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. Robotics: Science and Systems 2020 - [i3]Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu:
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. CoRR abs/2004.12974 (2020)
2010 – 2019
- 2019
- [j1]Archit Sharma, Siddhartha Saxena, Piyush Rai:
A flexible probabilistic framework for large-margin mixture of experts. Mach. Learn. 108(8-9): 1369-1393 (2019) - [i2]Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman:
Dynamics-Aware Unsupervised Discovery of Skills. CoRR abs/1907.01657 (2019) - 2018
- [i1]Archit Sharma, Jasper L, Eric Zhang:
TrueChain: Highly Performant Decentralized Public Ledger. CoRR abs/1805.01457 (2018)
Coauthor Index
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last updated on 2024-04-25 01:24 CEST by the dblp team
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