[Paper Reading] Offline Reinforcement Learning with Implicit Q Learning
🗓 👀 
For mobile: View PDF
Main References
- Ilya Kostrikov, Ashvin Nair, and Sergey Levine. Offline Reinforcement Learning with Implicit Q Learning. ICLR 2022.
Hanseul Cho
PhD candidate at KAIST AI. Prev intern at Google NYC. Working on ML/DL/Opt+Theory and LLMs.
- 📍 Seoul, South Korea
- 📝 CV 👈👈
- X (Twitter)
- Github
- Google Scholar
- Semantic Scholar
- ORCID
You may also enjoy
[LaTeX Tips] The Most Elegant Way (Maybe) to Indicate Equally-Contributed Authors Separated with Commas
🗓
📌 LaTeX Tips & Tricks #1: Co-first author list with commas.
[Paper Reading] PENCIL: Long Thoughts with Short Memory
🗓
📌 Presented in OptiML Group Meeting (Spring 2025)
[Ph.D. Thesis Proposal] Unraveling and Overcoming Challenges in Machine Learning: Generalizability, Adaptability, and Multifacetedness
🗓
📌 Proposed for Ph.D. Candidacy Exam @ KAIST AI
[Paper Reading] Viewing Log-Depth Transformers via the Lens of Distributed Computing
🗓
📌 Presented in OptiML Group Meeting (Fall 2024)