Archit Sharma

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Reinforcement Learning

Passive Aggressive

Top Venues

Publications

Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn
RLVF: Learning from Verbal Feedback without Overgeneralization. CoRR (2024)
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 (2024)
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 (2023)
Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning. CoRR (2023)
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 (2023)
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 (2023)
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)
Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning. CoRL (2023)
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 (2023)
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 (2023)
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)
Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn
Waypoint-Based Imitation Learning for Robotic Manipulation. CoRR (2023)
Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning
An Emulator for Fine-Tuning Large Language Models using Small Language Models. CoRR (2023)
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)
Archit Sharma, Rehaan Ahmad, Chelsea Finn
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning. CoRR (2022)
Annie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn
You Only Live Once: Single-Life Reinforcement Learning. CoRR (2022)
Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning. NeurIPS (2022)
Annie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn
You Only Live Once: Single-Life Reinforcement Learning. NeurIPS (2022)
Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn
Autonomous Reinforcement Learning: Formalism and Benchmarking. ICLR (2022)
Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning. CoRR (2022)
Archit Sharma, Rehaan Ahmad, Chelsea Finn
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning. ICML (2022)
Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning. ICML (2021)
Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn
Autonomous Reinforcement Learning via Subgoal Curricula. NeurIPS (2021)
Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn
Discriminator Augmented Model-Based Reinforcement Learning. CoRR (2021)
Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn
Persistent Reinforcement Learning via Subgoal Curricula. CoRR (2021)
Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning. CoRR (2021)
Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn
Autonomous Reinforcement Learning: Formalism and Benchmarking. CoRR (2021)
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)
Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. CoRR (2020)
Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman
Dynamics-Aware Unsupervised Discovery of Skills. ICLR (2020)
Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman
Dynamics-Aware Unsupervised Discovery of Skills. CoRR (2019)
Archit Sharma, Siddhartha Saxena, Piyush Rai
A flexible probabilistic framework for large-margin mixture of experts. Mach. Learn. 108 (8-9) (2019)
Archit Sharma, Jasper L, Eric Zhang
TrueChain: Highly Performant Decentralized Public Ledger. CoRR (2018)