Reinforcement Learning is defined as a Machine Learning method that is concerned with how software agents should take actions in an environment. Reinforcement Learning is a part of the deep learning method that helps you to maximize some portion of the cumulative reward. Robotics: RL is used in Robot navigation, Robo-soccer, walking, juggling, etc. ; Control: RL can be used for adaptive control such as Factory processes, admission control in telecommunication, and Helicopter pilot is an example of reinforcement learning. ; Game Playing: RL can be used in Game playing such as tic-tac-toe, chess, etc. Fei-Fei Li & Justin Johnson & Serena Yeung Lecture 14 - 8 May 23, 2017 Overview Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. Manuel Amunategui 53,955 views Reinforcement Learning - A Simple Python Example and A Step Closer to AI with Assisted Q-Learning - Duration: 16:19. Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. Today: Reinforcement Learning 7 Problems involving an agent interacting with an environment, which provides numeric reward signals Goal: Learn how to take actions in order to maximize reward.

Reinforcement learning (RL) and temporal-difference learning (TDL) are consilient with the new view • RL is learning to control data • TDL is learning to predict data • Both are weak (general) methods • Both proceed without human input or understanding • Both are computationally cheap and thus potentially computationally massive This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Reinforcement Learning Applications. Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine UC Berkeley svlevine@eecs.berkeley.edu Abstract The framework of reinforcement learning or optimal control provides a mathe-matical formalization of intelligent decision making that is …