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Conference and Workshop Papers
- 2023
[c4]Jonathon Schwartz, Hanna Kurniawati:
Bayes-Adaptive Monte-Carlo Planning for Type-Based Reasoning in Large Partially Observable, Multi-Agent Environments. AAMAS 2023: 2355-2357- [c3]Jonathon Schwartz:
Towards Scalable and Robust Decision Making in Partially Observable, Multi-Agent Environments. AAMAS 2023: 2996-2998 - 2022
- [c2]Jonathon Schwartz, Ruijia Zhou, Hanna Kurniawati:
Online Planning for Interactive-POMDPs using Nested Monte Carlo Tree Search. IROS 2022: 8770-8777 - 2020
- [c1]Jonathon Schwartz, Hanna Kurniawati, Edwin El-Mahassni:
POMDP + Information-Decay: Incorporating Defender's Behaviour in Autonomous Penetration Testing. ICAPS 2020: 235-243
Informal and Other Publications
- 2023
- [i3]Jonathon Schwartz, Hanna Kurniawati, Marcus Hutter:
Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments. CoRR abs/2306.06067 (2023) - 2020
- [i2]Callum Baillie, Maxwell Standen
, Jonathon Schwartz, Michael Docking, David Bowman, Junae Kim:
CybORG: An Autonomous Cyber Operations Research Gym. CoRR abs/2002.10667 (2020) - 2019
- [i1]Jonathon Schwartz, Hanna Kurniawati:
Autonomous Penetration Testing using Reinforcement Learning. CoRR abs/1905.05965 (2019)
Coauthor Index
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