Skip to content
conftrace_

Archit Sharma

21 papers · 2020–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (17) 🧭 Keyword Pioneer πŸ‘₯ Mega-Team Β· Legion 🧬 Topic Evolution πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (112)

Venues

ICLR (5) NeurIPS (5) ICML (4) RSS (3) CoRL (2) ACL (1) EMNLP (1)

Top co-authors

Chelsea Finn (17) Sergey Levine (8) Eric Mitchell (6) Rafael Rafailov (5) Karol Hausman (4) Stefano Ermon (3) Tony Z. Zhao (3) Abhishek Gupta (3) Christopher D Manning (3) Fahim Tajwar (2)

Research topics

Machine Learning (16) Artificial Intelligence (13) Core AI (13) Reinforcement Learning (11) Learning Types Β· Machine Learning (11) Methods (9) Applications (7) Optimization & Theory (4) Deep Learning (2) Natural Language Processing (2) Robotics (2) Application Areas (2) Core Methods (2) Learning Types Β· Deep Learning (2) Computer Science (1)

Keywords

reinforcement learning (6) large language model (3) preference optimization (2) autonomous reinforcement learning (2) sample efficiency (2) direct preference optimization (2) autonomous learning (2) reinforcement learning from human feedback (2) policy training (2) verbal feedback (2) skill discovery (2) imitation learning (2) self-supervised learning (1) adversarial learning (1) curriculum learning (1) text classification (1) representation learning (1) variational inference (1) instruction following (1) robotic manipulation (1)

Papers

Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval ICLR 2025 A Critical Evaluation of AI Feedback for Aligning Large Language Models NeurIPS 2024 An Emulator for Fine-tuning Large Language Models using Small Language Models ICLR 2024 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 Language Model Detectors Are Easily Optimized Against ICLR 2024 Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data ICML 2024 RLVF: Learning from Verbal Feedback without Overgeneralization ICML 2024 Yell At Your Robot: Improving On-the-Fly from Language Corrections RSS 2024 APTSumm at BioLaySumm Task 1: Biomedical Breakdown, Improving Readability by Relevancy Based Selection ACL 2023 Direct Preference Optimization: Your Language Model is Secretly a Reward Model NeurIPS 2023 Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023 Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning CoRL 2023 Waypoint-Based Imitation Learning for Robotic Manipulation CoRL 2023 A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning ICML 2022 Autonomous Reinforcement Learning: Formalism and Benchmarking ICLR 2022 When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning NeurIPS 2022 You Only Live Once: Single-Life Reinforcement Learning NeurIPS 2022 Autonomous Reinforcement Learning via Subgoal Curricula NeurIPS 2021 Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ICML 2021 Dynamics-Aware Unsupervised Discovery of Skills ICLR 2020 Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning RSS 2020