A Novel Heterogeneous Swarm Reinforcement Learning Method for Sequential Decision Making Problems

Adaptive Reinforcement Learning Method for Sequential Decision Task: A Review

There are many dynamic situations in which sequential actions come with circumstances favorable. These consequences of actions can include at a multitude of times after the action is taken, and it shall be concern with the strategies for specify action on the basis of both their short term and long term consequences. A proposed model based approach which requires constructing the model of state...

Learning and Sequential Decision Making

Convergence in a sequential two stages decision making process

We analyze a sequential decision making process, in which at each stepthe decision is made in two stages. In the rst stage a partially optimalaction is chosen, which allows the decision maker to learn how to improveit under the new environment. We show how inertia (cost of changing)may lead the process to converge to a routine where no further changesare made. We illustrate our scheme with some...

Reinforcement Learning as a Framework for Ethical Decision Making

Emerging AI systems will be making more and more decisions that impact the lives of humans in a significant way. It is essential, then, that these AI systems make decisions that take into account the desires, goals, and preferences of other people, while simultaneously learning about what those preferences are. In this work, we argue that the reinforcementlearning framework achieves the appropr...

Efficient Approximate Policy Iteration Methods for Sequential Decision Making in Reinforcement Learning

(Computer Science—Machine Learning) EFFICIENT APPROXIMATE POLICY ITERATION METHODS FOR SEQUENTIAL DECISION MAKING IN REINFORCEMENT LEARNING