Papers by Md Masudur Rahman
Natural Language-based State Representation in Deep Reinforcement Learning (2024.findings-naacl)
Copied to clipboard
| Challenge: | a new method for learning policies from images is proposed to reduce image-based observations' complexity and improve interpretability. |
| Approach: | They propose a method that compresses images into a natural language form for state representation. |
| Outcome: | The proposed method allows better interpretability and leverages processing capabilities of large-language models. |