The process for transferring knowledge of multiple reinforcement learning policies into a single multi-task policy via distillation technique is known as policy distillation. When policy distillation is under a deep reinforcement learning setting, due to the giant parameter size and the huge state space for each task domain, it requires extensive computational efforts to train the multi-task po...

Acetic acid is the most widely used aliphatic carbonic acid used as a reaction partner during the manufacture of acetic acid esters, or employed as a solvent in the production of cellulose acetate. Although acetic acid and water do not form any azeotrope, use of simple distillation to separate these two components is still not practical due to its high energy consumption rate. In this work, som...

The multi®essel batch distillation column, as well as con®entional batch distillation, ( ) can be operated in a closed total reflux mode where the products are collected in ®essels along the column. A pre®iously proposed and simulated feedback control strategy for the closed operation is to indirectly adjust the ®essel holdups by using the reflux flow out of the ®essel to control the termperatu...

the synthesis of heat integrated multi-component distillation systems is complex due to its huge search space for structural combination and optimization computation. to provide a systematic approach and tools for the synthesis design of distillation systems, a new method for modeling heat integrated columns is presented, and the operating cost objective function is minimized by improved harmon...

An open challenge in information distillation is the evaluation and optimization of the utility of ranked lists with respect to flexible user interactions over multiple sessions. Utility depends on both the relevance and novelty of documents, and the novelty in turn depends on the user interaction history. However, user behavior is non-deterministic. We propose a new probabilistic framework for...

Considering the fact that students have different abilities to understand knowledge imparted by teachers, a multi-granularity distillation mechanism is proposed for transferring more understandable student networks. A self-analyzing module of teacher network designed, which enables learn from teaching patterns. Furthermore, stable excitation scheme robust supervision training. The can be embedd...

Certain fundamental principles are common to all distilling systems. Modern distillation systems are multi-stage, continuous, countercurrent, vapor-liquid contacting systems that operate within the physical laws that state that different materials boil at different temperatures. Represented in Figure 1 is a typical distillation tower that could be employed to separate an ideal mixture. Such a s...