Bilgehan Sel

According to our database, Bilgehan Sel authored at least 12 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning.

Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Backtracking for Safety.

Bilgehan Sel, Dingcheng Li, Phillip Wallis, Vaishakh Keshava, Ming Jin, Siddhartha Reddy Jonnalagadda

CoRR, March, 2025

LLMs Can Plan Only If We Tell Them.

Bilgehan Sel, Ruoxi Jia, Ming Jin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Democratizing Energy Management with LLM-Assisted Optimization Autoformalism.

Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin

Proceedings of the IEEE International Conference on Communications, 2024

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Ruoxi Jia, Ming Jin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs.

Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.

Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability.

Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin

CoRR, 2023

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Lu Wang, Ruoxi Jia, Ming Jin

CoRR, 2023

Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold.

Bilgehan Sel, Ahmad Al-Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, Ming Jin

Proceedings of the Learning for Dynamics and Control Conference, 2023

A CMDP-within-online framework for Meta-Safe Reinforcement Learning.

Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds.

Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023