Why Inverse Reinforcement Learning Is GOLD!

Inverse Reinforcement Learning(IRL) is not something very new. It popped up with work published by Andrew Ng in the year 2000. Then it has developed over last nine years with different kinds of base algorithms (IRL optimization algorithms). If any of you interested in reading about the history of this fantastic field I highly recommend you to follow this PERFECT git hub repo which consists all the paper notes from the year 2000. When it comes to solving sequential decision making Reinforcement Learning(RL) is a prevalent method.