| Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification Y Meng, R Zhou, A Mukherjee, M Fitzsimmons, C Song, J Liu International Conference on Machine Learning, 2024 | 8 | 2024 |
| Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO) A Mukherjee, J Liu ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023 | 7 | 2023 |
| A Comparison of Reward Functions in Q-Learning Applied to a Cart Position Problem A Mukherjee arXiv preprint arXiv:2105.11617, 2021 | 5 | 2021 |
| Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs A Mukherjee, J Liu ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023 | 1 | 2023 |
| Manifold-Guided Lyapunov Control with Diffusion Models A Mukherjee, T Quartz, J Liu arXiv preprint arXiv:2403.17692, 2024 | | 2024 |
| Denoising Diffusion Restoration Tackles Forward and Inverse Problems for the Laplace Operator A Mukherjee, MM Stadt, L Podina, M Kohandel, J Liu arXiv preprint arXiv:2402.08563, 2024 | | 2024 |
| Harmonic Control Lyapunov Barrier Functions for Constrained Optimal Control with Reach-Avoid Specifications A Mukherjee, R Zhou, J Liu arXiv preprint arXiv:2310.02869, 2023 | | 2023 |
| Methods and devices for extracting motion vector data from compressed video data SS KUMAR, A MUKHERJEE, SN PATEL, R XIANG CHAI, W Liu, Y Yu, ... US Patent 11729395B2, 2023 | | 2023 |
| Enhancing Reinforcement Learning in Vision-Based Environments with Optical Flow A Mukherjee, J Liu Journal of Computational Vision and Imaging Systems 9 (1), 1-3, 2023 | | 2023 |
| Stochastic Parameterization using Compressed Sensing: Application to the Lorenz-96 Atmospheric Model A Mukherjee, Y Aydogdu, T Ravichandran, NS Namachchivaya Tellus A: Dynamic Meteorology and Oceanography 74 (1), 300–317, 2022 | | 2022 |
