Sharma, Archit

24 publications

ICLR 2025 Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval Sheryl Hsu, Omar Khattab, Chelsea Finn, Archit Sharma

ICLRW 2025 Policy-Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone Max Sobol Mark, Tian Gao, Georgia Gabriela Sampaio, Mohan Kumar Srirama, Archit Sharma, Chelsea Finn, Aviral Kumar

NeurIPS 2024 A Critical Evaluation of AI Feedback for Aligning Large Language Models Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar

ICLR 2024 An Emulator for Fine-Tuning Large Language Models Using Small Language Models Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D Manning

ICLR 2024 Language Model Detectors Are Easily Optimized Against Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher D Manning, Chelsea Finn, Stefano Ermon

ICML 2024 Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data Fahim Tajwar, Anikait Singh, Archit Sharma, Rafael Rafailov, Jeff Schneider, Tengyang Xie, Stefano Ermon, Chelsea Finn, Aviral Kumar

ICML 2024 RLVF: Learning from Verbal Feedback Without Overgeneralization Moritz Pascal Stephan, Alexander Khazatsky, Eric Mitchell, Annie S Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn

NeurIPSW 2023 An Emulator for Fine-Tuning Large Language Models Using Small Language Models Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher Manning

NeurIPS 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

ICMLW 2023 Direct Preference Optimization: Your Language Model Is Secretly a Reward Model Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D Manning, Chelsea Finn

NeurIPSW 2023 Language Model Detectors Are Easily Optimized Against Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher Manning, Chelsea Finn, Stefano Ermon

CoRL 2023 Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn

CoRL 2023 Waypoint-Based Imitation Learning for Robotic Manipulation Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn

ICML 2022 A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning Archit Sharma, Rehaan Ahmad, Chelsea Finn

ICLR 2022 Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn

NeurIPS 2022 When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn

ICMLW 2022 When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn

NeurIPS 2022 You Only Live Once: Single-Life Reinforcement Learning Annie Chen, Archit Sharma, Sergey Levine, Chelsea Finn

ICMLW 2022 You Only Live Once: Single-Life Reinforcement Learning via Learned Reward Shaping Annie S Chen, Archit Sharma, Sergey Levine, Chelsea Finn

NeurIPS 2021 Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn

NeurIPSW 2021 Discriminator Augmented Model-Based Reinforcement Learning Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn

ICML 2021 Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu

ICLR 2020 Dynamics-Aware Unsupervised Skill Discovery Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman

MLJ 2019 A Flexible Probabilistic Framework for Large-Margin Mixture of Experts Archit Sharma, Siddhartha Saxena, Piyush Rai