FIRM AUTOMATION: A REINFORCEMENT LEARNING APPROACH

Ipseeta Nanda, Rajesh De
2022 INFORMATION MANAGEMENT AND COMPUTER SCIENCE  
In most automation, we use ANN or RNN based algorithms. This results well but the prior information is what actions were previously taken by a human, this cannot be the only measure of learning a process we know humans learn everything with experience. And the most appropriate algorithm to learn like a human is Reinforcement Learning
doi:10.26480/imcs.02.2022.28.30 fatcat:rwpodp5owjf25pzpazhebdr3cm