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Evaluating the Safety of Deep Reinforcement Learning Models using
  Semi-Formal Verification

Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification

19 October 2020
Davide Corsi
Enrico Marchesini
Alessandro Farinelli
    OffRL
ArXivPDFHTML

Papers citing "Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification"

2 / 2 papers shown
Title
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
88
292
0
09 Aug 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
231
1,837
0
03 Feb 2017
1