| 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 | 100 | 2021 |
| 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 | 20 | 2019 |
| 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 | 19 | 2021 |
| 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 | 7 | 2021 |
| 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 | 2 | 2021 |
| Generative Design of Decision Tree Policies for Reinforcement Learning J Pettit, CS Lee, J Yang, A Ho, BK Petersen, M Landajuela ICML 2024 Workshop on Structured Probabilistic Inference {\&} Generative …, 0 | | |
| 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 | | |
