Summary of Reasonplanner: Enhancing Autonomous Planning in Dynamic Environments with Temporal Knowledge Graphs and Llms, by Minh Pham Dinh et al.
ReasonPlanner: Enhancing Autonomous Planning in Dynamic Environments with Temporal Knowledge Graphs and LLMs
by Minh Pham Dinh, Munira Syed, Michael G Yankoski, Trenton W. Ford
First submitted to arxiv on: 11 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary ReasonPlanner is a novel generalist agent designed for reflective thinking, planning, and interactive reasoning. It leverages large language models (LLMs) to plan hypothetical trajectories by building a World Model based on a Temporal Knowledge Graph. The agent interacts with the environment using a natural language actor-critic module, where the actor translates the imagined trajectory into a sequence of actionable steps, and the critic determines if replanning is necessary. ReasonPlanner significantly outperforms previous state-of-the-art prompting-based methods on the ScienceWorld benchmark by more than 1.8 times, while being more sample-efficient and interpretable. It relies solely on frozen weights thus requiring no gradient updates. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Planning and performing interactive tasks is easy for humans but hard for robots. A new computer program called ReasonPlanner can help solve this problem. It uses big language models to imagine different scenarios and then acts on them in the world. This makes it very good at planning and solving problems, even better than other programs that try to do the same thing. The best part is that it’s easy to use and doesn’t need special knowledge of computer science. |
Keywords
» Artificial intelligence » Knowledge graph » Prompting
