| Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control T Joshi, S Makker, H Kodamana, H Kandath Computers & Chemical Engineering 155, 107527, 2021 | 32 | 2021 |
| A novel dynamic just-in-time learning framework for modeling of batch processes T Joshi, V Goyal, H Kodamana Industrial & Engineering Chemistry Research 59 (43), 19334-19344, 2020 | 15 | 2020 |
| Application of twin delayed deep deterministic policy gradient learning for the control of transesterification process T Joshi, S Makker, H Kodamana, H Kandath arXiv preprint arXiv:2102.13012, 2021 | 10 | 2021 |
| TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control T Joshi, H Kodamana, H Kandath, N Kaisare Control Engineering Practice 134, 105462, 2023 | 7 | 2023 |
| Process control of mAb production using multi-actor proximal policy optimization N Gupta, S Anand, T Joshi, D Kumar, M Ramteke, H Kodamana Digital Chemical Engineering 8, 100108, 2023 | 1 | 2023 |
| Comparison of Reinforcement Learning and Model Predictive Control for a Nonlinear Continuous Process V Rajpoot, S Munusamy, T Joshi, D Patil, V Pinnamaraju IFAC-PapersOnLine 57, 304-308, 2024 | | 2024 |
HARIPRASAD KODAMANAAssociate Professor, Department of Chemical Engineering, (Jointly with) Yardi School of AI在 iitd.ac.in 的电子邮件经过验证
