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AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning

  • Published:2022-11-14 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 IEEE International Symposium on Technologies for Homeland Security (HST)
  • language:
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Author:

Rahman Aowabin1,Bhattacharya Arnab1,Ramachandran Thiagarajan1,Mukherjee Sayak1,Sharma Himanshu1,Fujimoto Ted2,Chatterjee Samrat3

Affiliation:

1. Pacific Northwest National Laboratory,Optimization and Control Group,Richland,USA

2. Pacific Northwest National Laboratory,Data Analytics Group,Richland,USA

3. Pacific Northwest National Laboratory,Data Sciences and Machine Intelligence Group,Richland,USA

Publisher

IEEE

Reference12 articles.

1. Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions

2. Lecture 2: Markov decision processes;silver;UCL Retrieved from,2015

3. Robust adversarial reinforcement learning;pinto;International Conference on Machine Learning,0

4. Coordinated exploration via intrinsic rewards for multi-agent reinforcement learning;iqbal;ArXiv Preprint,2019

5. Learning Robot Swarm Tactics over Complex Adversarial Environments

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