Shall we play a game? A guide to AI Reinforcement Learning

<p>It&rsquo;s the early 90s, and as a child of that time, I&rsquo;m wandering my sacred place, my temple &mdash; the local video store.</p> <p>Long before the world of streaming and internet-delivered media content, the video store was the launchpad for a child&rsquo;s imagination. Rows and rows of pure magic encased in chemically treated plastic boxes that collectively gave rise to a smell that was unique to your local video store.</p> <p>The smell of&nbsp;<em>action</em>,&nbsp;<em>adventure,&nbsp;</em>and&nbsp;<em>delight</em>, at the low low price of $2 a night, or $3 a week (new releases $5 overnight!).</p> <p>It was within that hallowed place that I first came across the 1983 classic movie &lsquo;WarGames&rsquo;. Starring Matthew Broderick as a tenacious tech-savvy 80s teenager who hacks into equally 80s computer systems only to stumble upon the WOPR (a.k.a &lsquo;Joshua&rsquo;) a computer that could think, reason, talk and &mdash; most importantly &mdash; play games like a person.</p> <p>If you haven&rsquo;t seen the film I&rsquo;ll leave the rest for you to discover, but safe to say the fun begins when you realise that the WOPR not only plays games like chess and poker, but also&nbsp;<em>global thermonuclear war</em>.</p> <p><a href="https://betterprogramming.pub/shall-we-play-a-game-a7c93963b442">Website</a></p>