A list of puns related to "Subgame"
Mine is Milky Way Wishes
About:
SubGame builds multiple applications through a complete technical architecture, including game type modules, payment model interfaces, communication field development, data on-chain applications, cross-chain settlement and blockchain storage space, etc., and uses the relay station contract agreement as the external model Group, can develop cross-public chain smart contracts, minimize the cost of value transmission between chains and maximize the scalability of applications, so that developers can develop cross-chain smart contracts at the lowest cost. It reduces the learning curve and development difficulty for developers, and then develops more applications that are conducive to the positive development of the ecology, triggering huge industrial changes.
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Reward Details: https://medium.com/@subgame_network/exploring-subgame-crowdloan-plan-on-polkadot-parachain-slot-auction-87905374a683
Total Rewards for Slots: 34,000,000 GSGB
Allocation of Slot Rewards in total token issuance: 6.8
Total upper limit of supported DOT: 400,000 DOT
DOT in the Crowdloan will support Polkadot Slot Auction. It is estimated that the maximum number of rewards per year is 10%, which is about 3,400,000 GSGB.
Remark:
GSGB AKA SubGame Gamma is a reward for those participating in SubGame Crowdloan activities. Its value is equivalent to the value of $SGB Tokens on SubGame Mainnet. It can be exchanged 1:1 with $SGB through the cross-chain SubGame Bridge.
SubGame Slot Auction Rules
SubGame Crowdloan Campaign will be launched at Gate.io. Participants will lock their DOT Tokens on Polkadot and it will be locked until end of the lease to support SubGame to win the ParaChain Slot Auction.
The DOT Tokens for the Crowdloan will ultimately be unlocked and returned to the participants after the lease term ends. If SubGame Gamma doesn’t get to win the auction when the crowd loan event ends, the DOT Tokens contributed will be unlocked at the end of the event.
The maximum DOT Token Staking per person is ≤2000 DOT
During the Crowdloan Period
Release Ratio: 1DOT = 5GSGB
Slot Lease Period
Release Ratio: 1DOT = 8GSGB
Release Method
The slot auction rewards will be released in a linear manner. If Subgame Network succeeds
... keep reading on reddit ➡I’m pretty new to RL, and I was wondering if I could get some insight on how an idea of mine could work for Pokemon battling. For those unfamiliar with Pokemon battling, it’s an imperfect-information game with a very large state space and a lot of hidden information regarding the opponent’s moves, their stats, etc. For generalization, let’s say each player has a team of 6 Pokemon (we’ll call this 6v6). The action space is the 4 attacks + 5 potential switches for a total of 9 moves.
My main question is, can you train an agent by solving “subgames” where first you have it become a 1v1 pro (so each player only has 1 Pokemon), and then become a pro at 2v2 by learning a policy that reduces the 2v2 game into a favorable 1v1 scenario, eventually scaling up to 6v6? So rather than starting from the (daunting) 6v6 problem, we explicitly start with the much simpler smaller endgame scenarios and frame the problem into learning policies that map to a state that we have already solved before. Is there an RL algorithm that couples naturally with this? The motivation here is that hopefully the agent will naturally learn concepts like win conditions, reducing games to favorable endgame scenarios, etc. which are all larger macro concepts that separate top human players from people simply clicking the super effective move.
For example, how would you modify Deep-Q learning to adopt this learning paradigm? Is there some way you could “freeze” weights of the network that are good approximating Q-values for these 1v1 states, and then freeze another layer of weights that are good at approximating Q-values for 2v2 states, etc. in these rounds of training subgames? Would that make any sense to do?
When opened, there was a big dark brain slowly flashing during loading. The menu was also dark-schemed, consisted of choosing one of 40-50 games, in rising difficulty. Probably each game type repeated itself a few times getting harder and harder.
The only games i remember were classic jig-saw which was one of the easier ones, also something like the Hexxagon game, also maybe Majhong and a game where you had to connect numbered balls in some way (maybe an IQ test?). There were a lot of games involving balls i think...
Most of these games were very hard for me, I was a few-year-old however.
I wonder if anyone of you also played it? It doesn't seem like a popular game :)
Back in 2002ish I remember playing an online game that had 5 subgames and when you beat the subgame you could click on part of the name (dot in the i?) and a few more subgames would appear. You had to beat the first game to unlock the next game. There wasn't any logon or anything, so you had to start over every time you played. I only remember two games:
Trying to remember this from my childhood. I doubt the website still exists today. But if there are images or screenshots, that's what I'm looking for.
Hello everyone, so about a month ago, I posted a concept map I made after finish reading William Spaniel's GameTheory101 Lesson 1.
I did it mainly as a study/review tool to make sure I understood the main concepts and not just flipping through the book.
Well, it took me quite a while but I'm back with the concept map for Lesson 2!
The great thing about concept maps is that it allows for more knowledgeable peers to immediately spot any erroneous connections or understanding and be able to point them out.
So if you spot any errors be sure to let me know!
https://preview.redd.it/2zv4rettpxw61.jpg?width=4806&format=pjpg&auto=webp&s=71ddbe91d9d3e83c5eea629422f60e9988aec8a3
The software used in editing concept maps allows for collaboration so if you would like to contribute to the map with video, links, or anything else, it could become a great foundation for future learners!
The Theory Underlying Concept Maps and How To Construct Them
https://preview.redd.it/zbytjg521bt61.jpg?width=1200&format=pjpg&auto=webp&s=ee592e9e33b1662f943868d999459ba21a53d8a7
We are very pleased to inform the community that SubGame has officially joined the u/polkadotnetwork ecosystem.
website:https://www.subgame.org/#/
twitter:https://twitter.com/SubgameBase
telegram group:https://t.me/subgamenetwork
Facebook:https://www.facebook.com/SubGame.netwrok/
Reddit:https://www.reddit.com/user/SubgameBase_2021/
GitHub:https://github.com/SubGame-Network
Hi I'm having some trouble with an exercise on dynamic games. I included a picture for the game.
The question I'm asked is to find the conditions for a,b,c and d to make the strategy profile (BHJ, DF) a perfect equilibrium.
I know that usually you start with the bottom so when I look at if player 1 chooses G or H, for him to choose H, we're sure that a>2 . For player 1 to choose J over I, we're sure that c>2. Then for player 2 to choose D over C, we're sure that b>1. For player 2 to choose F over E, we're sure that D<3. Then we arrive at the point where nothing works anymore. For player 1 to choose B over A, we're also sure that a<2. But a can't be both smaller and greater than 2.
That leaves me with 3 choices:
So as you can see I need some help for this one..
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