TASAC: a twin-actor reinforcement learning framework with stochastic policy for batch process control

no code implementations • 22 Apr 2022 • Tanuja Joshi, Hariprasad Kodamana, Harikumar Kandath, Niket Kaisare

Due to their complex nonlinear dynamics and batch-to-batch variability, batch processes pose a challenge for process control.

Reinforcement Learning (RL)

Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control

no code implementations • 25 Feb 2021 • Tanuja Joshi, Shikhar Makker, Hariprasad Kodamana, Harikumar Kandath

Control of batch processes is a difficult task due to their complex nonlinear dynamics and unsteady-state operating conditions within batch and batch-to-batch.

Continuous Control Reinforcement Learning (RL)