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On Reducing Undesirable Behavior in Deep Reinforcement Learning Models

On Reducing Undesirable Behavior in Deep Reinforcement Learning Models

6 September 2023
Ophir M. Carmel
Guy Katz
ArXivPDFHTML

Papers citing "On Reducing Undesirable Behavior in Deep Reinforcement Learning Models"

4 / 4 papers shown
Title
Learning Minimally-Violating Continuous Control for Infeasible Linear
  Temporal Logic Specifications
Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications
Mingyu Cai
Makai Mann
Zachary Serlin
Kevin J. Leahy
C. Vasile
32
12
0
03 Oct 2022
Safe Reinforcement Learning with Contrastive Risk Prediction
Safe Reinforcement Learning with Contrastive Risk Prediction
Hanping Zhang
Yuhong Guo
OffRL
18
2
0
10 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRL
AI4TS
111
237
0
20 May 2022
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
226
1,835
0
03 Feb 2017
1