Search Results for author:
Found 3 papers, 0 papers with code
MC-Saar-Instruct: a Platform for Minecraft Instruction Giving Agents
We present a comprehensive platform to run human-computer experiments where an agent instructs a human in Minecraft, a 3D blocksworld environment.
Scaling up ML-based Black-box Planning with Partial STRIPS Models
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like policy learning.
Generating Instructions at Different Levels of Abstraction
When generating technical instructions, it is often convenient to describe complex objects in the world at different levels of abstraction.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
