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Posts
Future Blog Post
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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
</article> </div>Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
</article> </div>Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
</article> </div>Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
</article> </div>portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Offline Meta Reinforcement Learning - Identifiability Challenges and Effective Data Collection Strategies
Ron Dorfman, Idan Shenfeld, and Aviv Tamar
Published in NeurIPS, 2021
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, and Pulkit Agrawal
Published in ICML, 2023
Selected for Oral Presentation at 2023 ICLR RRL Workshop.
Curiosity-driven Red-teaming for Large Language Models
Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal
Published in ICLR, 2024
Value Augmented Sampling for Language Model Alignment and Personalization
Idan Shenfeld, Seungwook Han, Akash Srivastava, Yoon Kim, Pulkit Agrawal
Published in Oral presentation at Workshop on Reliable and Responsible Foundation Models, ICLR 2024, 2024
Juicer: Data-efficient Imitation Learning for Robotic Assembly
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal
Published in IROS, 2024
The Future of Open Human Feedback
Shachar Don-Yehiya, Ben Burtenshaw,... Idan Shenfeld ..., Leshem Choshen
Published in Nature Machine Intelligence, 2025
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas
Published in ICLR, 2025
Language Model Personalization via Reward Factorization
Idan Shenfeld, Felix Faltings, Pulkit Agrawal, Aldo Pacchiano
Published in COLM, 2025
From Imitation to Refinement: Residual RL for Precise Visual Assembly
Lars Lien Ankile, Anthony Simeonov, Idan Shenfeld, Marcel Torne Villasevil, Pulkit Agrawal
Published in ICRA, 2025
KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
Gholamali Aminian, Amir Asadi, Idan Shenfeld, Youssef Mroueh
Published in NeurIPS, 2025
Reinforcement Learning via Self-Distillation
Jonas Hübotter, Frederike Lübeck,... Idan Shenfeld,... Andreas Krause
Published in ICML, 2026
Self-Distillation Enables Continual Learning
Idan Shenfeld, Mehul Damani, Jonas Hübotter, Pulkit Agrawal
Published in ICML, 2026
Best Paper Award at Lifelong Agents Workshop, ICLR 2026
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
Mehul Damani, Isha Puri, Stewart Slocum, Idan Shenfeld, Leshem Choshen, Yoon Kim, Jacob Andreas
Published in ICLR, 2026
RL’s Razor: Why Online Reinforcement Learning Forgets Less
Idan Shenfeld, Jyothish Pari, Pulkit Agrawal
Published in ICLR, 2026
Outstanding Paper Award at the CCFM Workshop, NeurIPS 2025
Aligning Language Models From User Interactions
Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause
Published in Arxiv Preprint, 2026
Best-of-n through the Smoothing Lens: KL Divergence and Regret Analysis
Gholamali Aminian, Idan Shenfeld, Amir Asadi, Ahmad Beirami, Youssef Mroueh
Published in ICLR, 2026
Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
Isha Puri, Mehul Damani, Idan Shenfeld, Marzyeh Ghassemi, Jacob Andreas, Yoon Kim
Published in ICML, 2026
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
</article> </div>Tutorial 1 on Relevant Topic in Your Field
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</article> </div>Talk 2 on Relevant Topic in Your Field
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</article> </div>Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
</article> </div>teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
</article> </div>Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
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