Next, we will present a novel reinforcement learning (RL ... a promising tool to find new chemical process flowsheets. In the last part of the talk, we will present a RL strategy that can be used to ...

While reinforcement learning (RL ... enabling effective power flow management in non-stationary environments. Besides that, a parameterized action constrained Markov decision process is employed to ...

Abstract: In this paper, we focus on the demand-capacity balancing (DCB) problem in air traffic flow management ... to ease the learning process. Second, a multi-agent reinforcement learning framework ...