Meera Ray
@meeraray.bsky.social
Compsci PhD Student @ Penn State. Computational cognitive science, applied statistics/ML, and social critical takes on AI. Trekkie and spicy food lover.
Reposted by Meera Ray
In some recent work we extended the original assistance game formalism to handle natural language, resulting in Language-Augmented Assistance Games. We then "solve" these games using an inverse planning algorithm, inferring goals from human instructions & natural language:
arxiv.org/abs/2402.17930
arxiv.org/abs/2402.17930
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
People often give instructions whose meaning is ambiguous without further context, expecting that their actions or goals will disambiguate their intentions. How can we build assistive agents that foll...
arxiv.org
November 19, 2024 at 2:16 PM
In some recent work we extended the original assistance game formalism to handle natural language, resulting in Language-Augmented Assistance Games. We then "solve" these games using an inverse planning algorithm, inferring goals from human instructions & natural language:
arxiv.org/abs/2402.17930
arxiv.org/abs/2402.17930