Sentence examples for both reinforcement learning and from inspiring English sources

Both reinforcement learning and adversarial networks have the potential to improve upon the results achieved by Facebook — each of these could become a standalone paper.

However, it should be noted that both reinforcement learning theory and alternative frameworks proposed more recently (Frank et al., 2007; Jocham & Ullsperger, 2009; Ullsperger, 2010) do not necessarily rule out each other.

It can be combined with reinforcement learning and Markov model.

Regarding the requirements mentioned above, deep reinforcement learning (DRL), merging reinforcement learning and deep learning, is a proper method to apply in this scenario.

This results in behavioural policies that reproduce those optimised by reinforcement learning and dynamic programming.

The basal ganglia play important roles in higher-cognitive functions, such as in reinforcement learning and procedural memory.

Both reinforcement machine learning and Bayesian networks are adopted to enhance the accuracy.

These perspectives on precision (reinforcement learning rates and Kalman gain) illustrate the formal equivalence between reinforcement learning, predictive coding, and Bayesian filtering, disclosed by the general scheme used here.

Here interactive machine learning (iML) may be of help, having its roots in reinforcement learning, preference learning, and active learning.

The above description summarizes the related work in reinforcement learning, Q Learning and Big Data Applications.

This is the essence of reinforcement learning (Sutton and Barto 1998 ).