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Jacob Pettit
Jacob Pettit
Machine Learning Researcher, Lawrence Livermore National Laboratory
Verified email at llnl.gov - Homepage
Title
Cited by
Cited by
Year
Discovering symbolic policies with deep reinforcement learning
M Landajuela, BK Petersen, S Kim, CP Santiago, R Glatt, N Mundhenk, ...
International Conference on Machine Learning, 5979-5989, 2021
902021
Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learning
JF Pettit, R Glatt, JR Donadee, BK Petersen
arXiv preprint arXiv:1912.03408, 2019
192019
Improving exploration in policy gradient search: Application to symbolic optimization
M Landajuela, BK Petersen, SK Kim, CP Santiago, R Glatt, TN Mundhenk, ...
arXiv preprint arXiv:2107.09158, 2021
162021
Learning sparse symbolic policies for sepsis treatment
JF Pettit, BK Petersen, FL Silva, DB Larie, RC Cockrell, G An, DM Faissol
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
72021
Discovering symbolic policies with deep reinforcement learning
S Kim, M Landajuela, BK Petersen, CP Santiago, R Glatt, TN Mundhenk, ...
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
22021
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
J Pettit, CS Lee, J Yang, A Ho, BK Petersen, M Landajuela
2023
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Articles 1–6