PLOW: A Collaborative Task Learning Agent

Channel:
Microsoft Research
Subscribers:
345,000
Published on ● Video Link: https://www.youtube.com/watch?v=cpMqbTVAbfo


Duration: 1:06:39
82 views
1

To be effective, an agent that collaborates with humans needs to be able to learn new tasks from humans they work with. This paper describes a system that learns executable task models from a single collaborative learning session consisting of demonstration, explanation and dialogue. To accomplish this, the system integrates a range of AI technologies: deep natural language understanding, knowledge representation and reasoning, dialogue systems, planning/agent-based systems and machine learning. A formal evaluation shows the approach has great promise.



Other Videos By Microsoft Research


2016-09-06MOSAIC: Unified Platform for Dynamic Overlay Selection and Composition
2016-09-06Computational Insights Into the Social Life of Zebras and Other Animals
2016-09-06Debugging Reinvented: Asking and Answering Why and Why Not Questions about Program Behavior [1/17]
2016-09-06CitySense: A Vision for an Urban-Scale Wireless Sensor Testbed
2016-09-06Why task-structure matters: The effects of task and social forces on software development
2016-09-06Robust Face Recognition via Sparse Representation
2016-09-06How to make Discretionary Access Control Resistant to Trojan Horses
2016-09-06Modeling Intention in Email: Speech Acts, Information Leaks and User Ranking Methods [1/2]
2016-09-06Techniques and Tools for Engineering Secure Web Applications
2016-09-06Should Machines Emulate Human Speech Recognition?
2016-09-06PLOW: A Collaborative Task Learning Agent
2016-09-06Building Bodies of Knowledge about Software Development Practices
2016-09-06The Manticore Project
2016-09-06Abstractions for event-driven design [1/14]
2016-09-06Generation of dense linear algebra software for shared memory and multicore architectures
2016-09-06The Computation of Economic equilibria [1/2]
2016-09-06Class Morphing: Safely Shaping a Class in the Image of Others [1/3]
2016-09-06Deep Photo and Gigapixel Images
2016-09-06Automated Revision of Distributed and Real-Time Programs
2016-09-06Candidate talk: Knowledge Analysis towards Automatic Question Answering for Discussion Forums
2016-09-06Improving Data Recovery From Embedded Networked Sensing Systems with Fault Detection and Diagnosis


Tags:
microsoft research