Peta Masters

Orcid: 0000-0002-2217-9254

According to our database1, Peta Masters authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization.
Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

2023
A Practical Taxonomy of TAS-related Usecase Scenarios.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

Domain-Independent Deceptive Planning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2021
Extended Goal Recognition: Lessons from Magic.
Frontiers Artif. Intell., 2021

Expecting the unexpected: Goal recognition for rational and irrational agents.
Artif. Intell., 2021

What's the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Extended Goal Recognition: A Planning-Based Model for Strategic Deception.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Deceptive Reinforcement Learning for Privacy-Preserving Planning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2019
Cost-Based Goal Recognition in Navigational Domains.
J. Artif. Intell. Res., 2019

Goal Recognition for Rational and Irrational Agents.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Cost-Based Goal Recognition for the Path-Planning Domain.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Deceptive Path-Planning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Cost-Based Goal Recognition for Path-Planning.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017


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