

However, this does lead us to the issue of the more common poker bots that can be found in the online gaming world. So online poker players can rest assured that they will never encounter this game-breaking AI bot in the real world. Should Players Be Concerned?įacebook has stated that it will not be releasing the Rebel codebase. For reference, Facebook’s first poker bot Pluribus score 147. Over the course of the trials, the AI landed an aggregated score of 165 while Kim’s score was 136. I could just go bet on Jai Alai in the mean time. ReBel managed to play at a much faster rate that the human players, taking less than five seconds to make its decisions. The next time I go to a poker room, I'm just going to set my laptop up at the table, run a bot, and leave it there to play for a few hours. Three other top players played against ReBel, and the results were very interesting over 7500 hands. To test the success of ReBel AI, the system competed against Dong Kim who is widely known as one of the best heads-up players in the poker community. In fact, one poker bot was actually hired by the Pentagon to help with military planning! Actually, it’s that this AI that was originally developed to solve the game of poker can have other applications off of the felt – in the development of self-driving cars and cybersecurity precautions. The most interesting thing about ReBel isn’t that it can likely beat some of the best poker players in the world. Since ReBel uses a public belief state instead of the “specific domain knowledge” used by other AI programs, it has a more general application. These include the overall pot and the various possible outcomes of the hand. There are also what looks like paid employees at the table too. There are what looks like a lot of regular players, who I feel sorry for on there. This creates something called a “public belief state” that allows the AI to devise probabilities based on all of the relevant aspects in play. Lost alot of time and money on there but I finally cut the cord in my brain after took my balance after accepting an impossible bonus of 10 dollars lol. What sets this system apart from other AIs is that there are two models in play, one representing value and the other representing value. ReBel AI is based on the common model of reinforcement learning that allows it to learn a game quickly from scratch. This new AI system that learns poker in a new and more efficient way, and has achieved a higher aggregated score than Pluribus. Just one year after developing Pluribus (which amassed a total of $1,000 per hour when competing with human pros), Facebook’s researchers have created ReBel. Facebook has developed a new AI system called ReBel which performs even better than it’s previous poker bot, Pluribus.
