This $339,927 federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support Georgetown University's development of an intelligent conversational agent. The agent will be built on a hierarchical model-based deep reinforcement learning framework to enable proactive, two-way conversations that can dynamically detect opportunities to expand knowledge and explore new topics. The project aims to create a novel conversational system that can engage in brainstorming, exploratory search, and complex decision-making, going beyond typical reactive smart assistants. The system will incorporate state tracking, action planning, and response validation to empower the agent's proactive intelligence. Georgetown will evaluate the system through offline experiments, crowdsourcing, and user studies to assess its effectiveness, novelty, and impact. This award supports NSF's mission to advance scientific discovery and technological innovation with potential societal benefits.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $339.9k | 4/17/24 |