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Notes on interactive systems
3 notes
On-Policy and Off-Policy Learning for Large Action Spaces
The paper by Imad Aouali discusses policy learning in interactive systems with large action spaces, where an agent makes decisions and receives partial feedback based on a context. The work focuses on two paradigms…
Thinkink: 2D Spatial Ink-native Interaction with LLMs
Researchers propose 'Thinkink', a system that allows users to interact with large language models (LLMs) using handwritten notes and sketches, which are then visually integrated into a shared canvas. The system was…
Creativity from Friction: Human-AI Interaction for Exploratory Structural Design
This research discusses the limitations of AI agents in creative fields, focusing on structural design and architecture. The paper proposes that interactive systems that help users explore alternatives and refine…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
