Archit Sharma
21 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Renaissance Researcher
(7)
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Conference Polyglot
(7)
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Academic Marathon
(5)
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Dynamic Duo
(17)
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Triple Crown
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Mega-Team
(98)
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Unstoppable
(6)
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Century Club
(21)
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Prolific Year
(7)
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Keyword Collector
(84)
Conferences
ICLR (5)
NIPS (5)
ICML (4)
RSS (3)
CORL (2)
ACL (1)
EMNLP (1)
Top co-authors
Keywords
reinforcement learning
(3)
sample efficiency
(2)
policy training
(2)
autonomous learning
(2)
imitation learning
(2)
direct preference optimization
(2)
large language model
(2)
reinforcement learning from human feedback
(2)
confidence calibration
(1)
self-supervised learning
(1)
adversarial learning
(1)
preference optimization
(1)
curriculum learning
(1)
continual adaptation
(1)
model predictive control
(1)
variational inference
(1)
language model alignment
(1)
human-robot interaction
(1)
instruction following
(1)
robotic manipulation
(1)
Papers
Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
ICLR 2025
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
ICML 2024
RLVF: Learning from Verbal Feedback without Overgeneralization
ICML 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models
NIPS 2024
Language Model Detectors Are Easily Optimized Against
ICLR 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Yell At Your Robot: Improving On-the-Fly from Language Corrections
RSS 2024
An Emulator for Fine-tuning Large Language Models using Small Language Models
ICLR 2024
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
EMNLP 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
NIPS 2023
Waypoint-Based Imitation Learning for Robotic Manipulation
CORL 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
CORL 2023
APTSumm at BioLaySumm Task 1: Biomedical Breakdown, Improving Readability by Relevancy Based Selection
ACL 2023
Autonomous Reinforcement Learning: Formalism and Benchmarking
ICLR 2022
You Only Live Once: Single-Life Reinforcement Learning
NIPS 2022
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning
NIPS 2022
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
ICML 2022
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
ICML 2021
Autonomous Reinforcement Learning via Subgoal Curricula
NIPS 2021
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
RSS 2020
Dynamics-Aware Unsupervised Discovery of Skills
ICLR 2020