Monte Carlo Poker Room Las Vegas, NV Tournaments, Reviews
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(ABC) Poker tables keep decreasing on Nevada casino floors | When the Monte Carlo closes its eight-table poker room in about a month as part of a $450 million overhaul, the Las Vegas Strip will have lost nearly a quarter of the tables it had a decade ago
I’m curious if there are any poker rooms that are known for having a scenic view. I don’t mind sitting in a windowless room as seems to be common where I live, but I’m wondering if there are any places that aren’t like that.
Some guidance in chip selection for an overwhelmed newbie
Hi, I am trying to choose decent chips to play with some friends, nothing really professional, just some casual games, but we would like high quality. I have been doing some research and looks like people tend to prefer 10 grams clay chips. They are used in casinos and have the best feeling. Now, here is the thing, we, as casual players, put so much value in the esthetics of the chip, we would like them to look good, and have found some that we really like, like the 2009 EPT or the Montecarlo Royale Crown. Problem being, first ones are ceramic, not clay, and the latter having a weight of 14 grams. Or is it actually a problem? I would like to find out if its just a common prefference but there is no big difference or it actually matters. In the 10g clay spectrum, many casinos use the Paulson clay but imho they are horrible, are there any good looking alternatives? We would really appreciate your opinion and comments in this matter or, if you do not want to spend the time in writing a whole post, answering in the pool if you would consider, in your experience, that any of those chips spoken about earlier are a bad purchase (0.8€ per chip the EPT ones and 0.3€ the Montecarlo´s) considering that we plan on start going to casinos once we reach the right blind levels). As always, thank you really much =) EDIT: Apparently many people found my post quite deffensive and that was never my intention, I am changing my way to say some things so there is no room for misunderstanding =) View Poll
Just got back from Vegas and wanted to share my experience for anyone coming since there always seem to be questions every week about similar stuff. Stayed at the Luxor for three nights Wed-Sat this past week on an mlife offer with Resort Credit and Freeplay. Staff was very nice at Luxor and we stayed in a Tower Premium Room with 2 queen beds. Room was very nice actually. We were on the 2nd floor and didn't have much of a view, however, this is probably the nicest room I've had in Vegas. To give some reference, I usually only stay at the lower end strip properties since I'm a low-roller and that's what I get comped. I've stayed in a Flamingo Fab Room, Excalibur Royal Room, Bally's basic room (Jubilee?), The Rio (Never again.), and the Linq. The only property that was close was the Flamingo. I will say that the Luxor's room isn't as nice as the Go rooms at Flamingo though. We were very happy with the room for a comp room though. If you do stay at Luxor just know this: You have to walk. A lot. I like MGM's Casino and the walk to there even though it's only a few properties down is about 20-25 minutes and you have to walk through Excalibur unless you take the tram. All and all though, wasn't a bad place to stay and would definitely take it over Excalibur by a mile. We hit up three buffets for brunch on our trip: The Aria, Bacchanal at Caesars, and Wicked Spoon at Cosmo. The Aria buffet was free from our myvegas points. (Facebook/Mobile game where you can earn some free stuff for your Vegas trip. Mostly buffets and free nights but there are some shows there too.) It was pretty good. Food all looked fresh and tasted good. Food is pretty standard buffet fare though which is where the other two buffets really shine. Purchased the unlimited drinks add-on for $19.99 for two people. We had margaritas and they were pretty good for 4 of them for $19.99, but beware, they are pretty slow bringing out drinks. I think brunch normal price is $28.99 which is a fair price I think for this buffet seeing as worse buffets charge that much. Friday we went to Bacchanal on a Groupon, $88 for brunch for 2 with two mimosas each. Simply put, this is the best buffet in Vegas I have been to. (I have not eaten at Wynn or Sterling Brunch though.) Worth the price. Mimosas were very good. They were not all orange juice like some places make them. The food though was all on point. Slab bacon and Chicken and Waffles were delicious. Meats from the carving station were good as well. Chilaquiles were amazing too. Decent selection of seafood, Lobster Eggs Benedict was a favorite. My wife is Vegetarian and she had a very good selection of stuff to eat here and she was very happy with her choices. Saturday we tried Wicked Spoon and we were really glad we did. We did the unlimited drinks and brunch buffet which worked out to about $115+tip. The service here was the best I've ever had any any buffet. Wife and I got through about 5 glasses of champagne each along with a 6th to go. He just kept bringing them out and was very fast to refill our water and clear our plates. Food was very inventive and delicious. Pork Pozole Sope and Gordon Ramsay style eggs were excellent which is saying a lot since buffet eggs are usually gross. The best thing I ate all trip though had to be this truffle pasta they had out. Normally when you get "truffle" dishes they're just made with truffle oil or something, however, there were decent sized chunks of actual black truffle shaved onto each dish. I love truffle and it was sooooo good. Now, where this buffet lacked was the carving station. I had some chewy beef that was the worst of the three buffets. However, I'd definitely go back here again even at the steep price since the drink service was so good and that truffle pasta was amazing. The other two places we ate were VegeNation and Primrose. Vegenation is a vegan restaurant downtown. Probably best Vegetarian/Vegan place I've eaten at. Had the meatball sub which was good and my wife says they're spaghetti and meatballs are delicious. She strayed from it this time and got the Veggiechanga which was a vegan chimichanga. She wasn't too happy with it. It was filled with a lot of meat substitute and not as much veggies as she thought it would have. She regretted the choice the whole trip since she loved the spaghetti and meatballs last trip. Primrose is a new restaurant in Monte Carlo/Park MGM. I had the Filet and frites and it was delicious. Decent size filet on top of bone marrow and mushrooms. The frites were ok, definitely not as good as Bouchon's, but good. My wife had the tomato pasta and it was very good. Kind of spicy with perfectly cooked pasta. Drinks were good and my wife ordered some lavender infused drink that was very tasty. All and all would recommend, dinner for two with drinks ended up around $120+tip. One thing to mention though is the Monte Carlo is a mess right now. So much construction going on and the entrances and exits are very inconvenient. We went and saw Brilliant at the Neon Museum downtown and it was a pretty good show. Show lasts about a half hour and they give you some time after the show to snap pictures with the signs lit up. If you like vintage Vegas stuff I'd definitely recommend it. I think tickets were $26/pp for the show and you could buy a ticket with a tour of the museum for $42/pp. Few other quick things: Go to the Cosmo's Chandelier Bar and order a Verbena ($16). It is the coolest cocktail I've ever had. You sip this cocktail after eating a flower than makes your tongue tingle and it is delicious. Even if you're not a big gambler I suggest you check out MGM and play Sigma Derby and/or Fortune Cup. They are mechanical horse racing games that are a fun way to kill time and you're money doesn't disappear instantly. Sigma Derby user quarters and Fortune Cup is a more updated version with a minimum bet of $1. The D on Fremont also has one of each machine and I saw the Fortune Cup machine at a few other casinos like the Cosmo. Hit a quinella for $150 on the Fortune Cup machine at the MGM and my wife who is not normally a gambler had a fun time picking horses to win. I also realized I don't think I like Fremont that much. Gambling is better downtown, but the whole atmosphere just isn't for me anymore. I think between the amount of non musician 'performers' and homeless beggars I saw and smelled on Thursday night I'm going to hit up the mob museum next trip then skip Fremont from now on. TL;DR Buffets: Bacchanal >= Cosmo > Aria, go see Brilliant, Luxor's Tower Premium room is an excellent choice for a budget room, Vegenation has great vegan food, Primrose is good but Monte Carlo is a mess, Play Sigma Derby and Fortune Cup, maybe skip Fremont? EDIT: Oh, almost forgot. The new Esports Arena at the Luxor looks awesome if you're into that sort of thing. $25 for unlimited play from 12PM-12AM. The setup there looked really nice. Thinking of trying to get my gaming group (Who are also really into Poker) to taking a trip for gambling and gaming.
AI smokes 5 poker champs at a time in no-limit Hold’em with ‘ruthless consistency’
The machines have proven their superiority in one-on-one games like chess and go, and even poker — but in complex multiplayer versions of the card game humans have retained their edge… until now. An evolution of the last AI agent to flummox poker pros individually is now decisively beating them in championship-style 6-person game. As documented in a paper published in the journal Science today, the CMU/Facebook collaboration they call Pluribus reliably beats five professional poker players in the same game, or one pro pitted against five independent copies of itself. It’s a major leap forward in capability for the machines, and amazingly is also far more efficient than previous agents as well. One-on-one poker is a weird game, and not a simple one, but the zero-sum nature of it (whatever you lose, the other player gets) makes it susceptible to certain strategies in which computer able to calculate out far enough can put itself at an advantage. But add four more players into the mix and things get real complex, real fast. Carnegie Mellon creates a poker-playing AI that can beat the pros With six players, the possibilities for hands, bets, and possible outcomes are so numerous that it is effectively impossible to account for all of them, especially in a minute or less. It’d be like trying to exhaustively document every grain of sand on a beach between waves. Yet over 10,000 hands played with champions, Pluribus managed to win money at a steady rate, exposing no weaknesses or habits that its opponents could take advantage of. What’s the secret? Consistent randomness.
Even computers have regrets
Pluribus was trained, like many game-playing AI agents these days, not by studying how humans play but by playing against itself. At the beginning this is probably like watching kids, or for that matter me, play poker — constant mistakes, but at least the AI and the kids learn from them. The training program used something called Monte Carlo counterfactual regret minimization. Sounds like when you have whiskey for breakfast after losing your shirt at the casino, and in a way it is — machine learning style. Regret minimization_just means that when the system would finish a hand (against itself, remember), it would then play that hand out again in different ways, exploring what might have happened had it checked here instead of raised, folded instead of called, and so on. (Since it didn’t really happen, it’s _counterfactual.) A _Monte Carlo_tree is a way of organizing and evaluating lots of possibilities, akin to climbing a tree of them branch by branch and noting the quality of each leaf you find, then picking the best one once you think you’ve climbed enough. If you do it ahead of time (this is done in chess, for instance) you’re looking for the best move to choose from. But if you combine it with the regret function, you’re looking through a catalog of possible ways the game could have gone and observing which would have had the best outcome. So Monte Carlo counterfactual regret minimization is just a way of systematically investigating what might have happened if the computer had acted differently, and adjusting its model of how to play accordingly. The game originall played out as you see on the left, with a loss. But the engine explores other avenues where it might have done better. Of course the number of games is nigh-infinite if you want to consider what would happen if you had bet $101 rather than $100, or you would have won that big hand if you’d had an eight kicker instead of a seven. Therein also lies nigh-infinite regret, the kind that keeps you in bed in your hotel room until past lunch. The truth is these minor changes matter so seldom that the possibility can basically be ignored entirely. It will never really matter that you bet an extra buck — so any bet within, say, 70 and 130 can be considered exactly the same by the computer. Same with cards — whether the jack is a heart or a spade doesn’t matter except in very specific (and usually obvious) situations, so 99.999 percent of the time the hands can be considered equivalent. This “abstraction” of gameplay sequences and “bucketing” of possibilities greatly reduces the possibilities Pluribus has to consider. It also helps keep the calculation load low; Pluribus was trained on a relatively ordinary 64-core server rack over about a week, while other models might take processor-years in high-power clusters. It even runs on a (admittedly beefy) rig with two CPUs and 128 gigs of RAM.
Random like a fox
The training produces what the team calls a “blueprint” for how to play that’s fundamentally strong and would probably beat plenty of players. But a weakness of AI models is that they develop tendencies that can be detected and exploited. In Facebook’s writeup of Pluribus, it provides the example of two computers playing rock-paper-scissors. One picks randomly while the other always picks rock. Theoretically they’d both win the same amount of games. But if the computer tried the all-rock strategy on a human, it would start losing with a quickness and never stop. As a simple example in poker, maybe a particular series of bets always makes the computer go all in regardless of its hand. If a player can spot that series, they can take the computer to town any time they like. Finding and preventing ruts like these is important to creating a game-playing agent that can beat resourceful and observant humans. To do this Pluribus does a couple things. First, it has modified versions of its blueprint to put into play should the game lean towards folding, calling, or raising. Different strategies for different games mean it’s less predictable, and it can switch in a minute should the bet patterns change and the hand go from a calling to a bluffing one. It also engages in a short but comprehensive introspective search looking at how it would play if it had every other hand, from a big nothing up to a straight flush, and how it would bet. It then picks its bet in the context of all those, careful to do so in such a way that it doesn’t point to any one in particular. Given the same hand and same play again, Pluribus wouldn’t choose the same bet, but rather vary it to remain unpredictable. These strategies contribute to the “consistent randomness” I alluded to earlier, and which were a part of the model’s ability to slowly but reliably put some of the best players in the world.
The human’s lament
There are too many hands to point to a particular one or ten that indicate the power Pluribus was bringing to bear on the game. Poker is a game of skill, luck, and determination, and one where winners emerge after only dozens or hundreds of hands. And here it must be said that the experimental setup is not entirely reflective of an ordinary 6-person poker game. Unlike a real game, chip counts are not maintained as an ongoing total — for every hand, each player was given 10,000 chips to use as they pleased, and win or lose they were given 10,000 in the next hand as well. The interface used to play poker with Pluribus. Fancy! Obviously this rather limits the long-term strategies possible, and indeed “the bot was not looking for weaknesses in its opponents that it could exploit,” said Facebook AI research scientist Noam Brown. Truly Pluribus was living in the moment the way few humans can. But simply because it was not basing its play on long-term observations of opponents’ individual habits or styles does not mean that its strategy was shallow. On the contrary, it is arguably more impressive, and casts the game in a different light, that a winning strategy exists that does not rely on behavioral cues or exploitation of individual weaknesses. The pros who had their lunch money taken by the implacable Pluribus were good sports, however. They praised the system’s high level play, its validation of existing techniques, and inventive use of new ones. Here’s a selection of laments from the fallen humans: I was one of the earliest players to test the bot so I got to see its earlier versions. The bot went from being a beatable mediocre player to competing with the best players in the world in a few weeks. Its major strength is its ability to use mixed strategies. That’s the same thing that humans try to do. It’s a matter of execution for humans — to do this in a perfectly random way and to do so consistently. It was also satisfying to see that a lot of the strategies the bot employs are things that we do already in poker at the highest level. To have your strategies more or less confirmed as correct by a supercomputer is a good feeling. -Darren Elias It was incredibly fascinating getting to play against the poker bot and seeing some of the strategies it chose. There were several plays that humans simply are not making at all, especially relating to its bet sizing. -Michael ‘Gags’ Gagliano Whenever playing the bot, I feel like I pick up something new to incorporate into my game. As humans I think we tend to oversimplify the game for ourselves, making strategies easier to adopt and remember. The bot doesn’t take any of these short cuts and has an immensely complicated/balanced game tree for every decision. -Jimmy Chou In a game that will, more often than not, reward you when you exhibit mental discipline, focus, and consistency, and certainly punish you when you lack any of the three, competing for hours on end against an AI bot that obviously doesn’t have to worry about these shortcomings is a grueling task. The technicalities and deep intricacies of the AI bot’s poker ability was remarkable, but what I underestimated was its most transparent strength – its relentless consistency. -Sean Ruane Beating humans at poker is just the start. As good a player as it is, Pluribus is more importantly a demonstration that an AI agent can achieve superhuman performance at something as complicated as 6-player poker. “Many real-world interactions, such as financial markets, auctions, and traffic navigation, can similarly be modeled as multi-agent interactions with limited communication and collusion among participants,” writes Facebook in its blog. Yes, and war. from Artificial Intelligence – TechCrunch https://ift.tt/2Lh7rTw via IFTTT
Casino Preferences for Small stakes vegas tourneys?
Going to Vegas with some buddies and planning to play a low stakes tourney ($50-$100 buy-in) with my three friends. My friend and I used to play the afternoon tournament at Monte Carlo, not because it was a great room or exceptional tournament but we did well and it seemed there was a lot of dead money in the tournaments that were usually 25-30 entrants. Monte Carlo (now Park MGM) has shuttered their poker room so I'm looking for a new spot. Anyone have any favorite casinos for those kind of tourneys to play preferably on a Saturday?
Girlfriend and I are staying 1 night at Paris and 2 nights at the Mirage. Both booked through their respective site with discounts. On my last trip I spent ~1500 at various Mlife properties and received some discounted offers along with a comp at Luxor or Excalibur ( "exclusive rates in luxury resort room"). On the same trip I spent $100 or so at Ceasars but was offered comped rooms at most of their properties it looks like. I don't show anything in the my offers section of TR, but on the calendar view their comped.
this time around should I primarily spend at Mirage or is TR a better way to go if I want upfront room comps. My budget for this trip is about the same.
Also would I be better off spending just at one mlife casino or is it fine to spread it out?
With my play ( primarily slots and video poker) what comps should I be expecting?
In case it helps, Here are my coin in's for 2017 ( three two night trips): Bellagio: 4.1k Mandalay: 2.1k Mirage: 2.5k NYNY: 1.6k Monte Carlo: 1.4k Thanks for the help!
The World Poker Tour is a prestigious series that rivals the biggest tournaments in the world and routinely attracts poker professionals. As always, the highrollers event are the ones that spent most of the time in the spotlights and this is where the best players in the world are to be found. The WPT Alpha 8 event recently concluded and with a buy-in of almost $100,000, it came as no surprise that just 17 players participated. Among those who sat down at the tables was Daniel Colman, a poker professional who began his activity over the Internet. This is where most of today's pros have started and many regular players are patiently waiting to make the transition from one level to the other. Unibet Poker is one of the online poker rooms where players get to choose between a nice variety of stakes, with those who prefer to compete at nosebleed limits having tables dedicated to them.Occasionally, the poker room runs qualifiers for live events, but this doesn't include highroller tournaments, so those who participated in the WPT Alpha 8 event had to pay the buy-in out-of-pocket. Colman emerged victorious and claimed a prize of £600,000 which means that he enjoyed the return on investment of 10 times the buy-in. The runner-up was Max Altergott who had to settle for £350,000, with two more players finishing in the money for a combined £400,000. This is not the first time that Daniel Colman wins a highrollers tournament, and it isn't the biggest prize that he collects for such a performance. He also prevailed in the Seminole Hard Rock Poker Open, the European Poker Tour (EPT) Monte Carlo Grand Final Super High Roller and won the World Series of Poker (WSOP) $1 million Big One For One Drop event. What makes his performance impressive is that he accomplished all this in one year and he is entitled to expect even better things to come his way in 2015 and beyond. With just seven players participating in this highroller tournament, it didn't take long for the final table to be decided and Isaac Haxton was the first to make the money. Talal Shakerchi was the executioner but he lost most of his chips to the eventual winner, who made short work of Max Altergott during the heads-up stage. Check out the official WPT Alpha8 London Results 1 Daniel Colman £600,000 ($959,622)2 Max Altergott £350,000 ($559,780)3 Talal Shakerchi £224,000 ($358,259)4 Isaac Haxton £160,000 ($255,899) from via Casinoreviews
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