Environment poisoning in reinforcement learning: attacks and resilience
As Reinforcement Learning (RL) systems have been widely adopted in real-world applications, the security of these systems has become increasingly significant. Thus, it is essential to protect RL systems against a variety of adversarial attacks. Of these attacks, a training-time attack is considered...
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Format: | Thesis-Doctor of Philosophy |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/164969 |
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Institution: | Nanyang Technological University |
Language: | English |