Deep Reinforcement Learning in Unity: With Unity ML Toolkit

© Abhilash Majumder 2021

A. MajumderDeep Reinforcement Learning in Unityhttps://doi.org/10.1007/978-1-4842-6503-1_1

1. Introduction to Reinforcement Learning

Abhilash Majumder¹  

(1)

Pune, Maharashtra, India

 

Reinforcement learning (RL) is a paradigm of learning algorithms that are based on rewards and actions. The state-based learning paradigm is different from generic supervised and unsupervised learning, as it does not typically try to find structural inferences in collections of unlabeled or labeled data. Generic RL relies on finite state automation and decision processes that assist in finding an optimized reward-based learning trajectory. The field of RL relies heavily on goal-seeking, stochastic processes and decision theoretic algorithms, which ...