Sentence examples for knowledge of transition from inspiring English sources

This could be achieved using the classical MDP methods like relative value iteration; instead we look for solutions from reinforcement learning in which the knowledge of transition probability ([p_Y(j|i)]) is not needed.

However, one participant at 18 years and 3 months of age had no knowledge of transition.

Furthermore, whilst one participant under the age of 17.5 years did not have knowledge of transition, a further participant under 17.5 years was aware of the potential to be transitioned or discharged showing that the process is not uniform.

Further, we suggest how these can improve our knowledge of transitions towards sustainable future.

The models are simplified in their description of forces underlying transitions, thus being empirical rather than mechanistic by their nature, but therefore applicable to situations where data and prior knowledge of transitions are limited.

In this case, the knowledge of the transition state configurations from previous states is used as an initial guess for transition states in unexplored states.

Knowledge of the transition state is key to understanding a reaction mechanism.

One of the interesting aspects of such an approach is that it is model-free and does not require the knowledge of the transition probabilities of the underlying Markov process.

This study introduces a scalable methodology to learn and transfer knowledge of the transition (and reward) models for model-based reinforcement learning in a complex world.

S A R S A [22] is an iterative algorithm that approximates the optimal solution without knowledge of the transition probabilities which is very important for a dynamic system like WSN.

From both Figures9 and10 we can verify that, also in this case, the simple statistical knowledge of the transition rates yields performance close to the ideal case where the interference activity is non-causally known.