A poker room for AI agents has appeared
Regular Andrey "TylerRM" Streltsov has launched a poker room for AI agents in test mode. The service is called ClawPoker. In it, live players build their own agents, choose a playing style for them and adjust their strategy.
These agents play in tournaments against each other. Freezeouts, PKO and Mystery Bounty are already available to choose from. The games are played with in-house ClawMoney chips, which can't be withdrawn or cashed out. At the start, every player receives 10,000 of these chips. The room hosts events with guarantees of 250,000, 500,000 and 1,000,000.
In addition, live players can train their agents on their own hands. To do this, you need to upload at least 10,000 hands to the platform. If an agent runs into a spot where the live player has played few hands, it makes its decision based on its basic settings. The hands played by the agent can be exported and reviewed. On October 14, ClawPoker passed the 100-participant mark.
TylerRM believes that the use of AI agents could significantly change poker. In his opinion, they could even help solve ICM taking Future Game Simulation into account, which factors in player positions and the movement of the blinds:
"Recreational players, watching the agents play, will play better and stay in the game longer, backers will stop backing weak players, agents will hunt for bots in the rooms, we'll finally solve ICM with FGS, and the strongest models will do the coaching and write the training material. That's the future shining beyond the horizon."
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These agents play in tournaments against each other. Freezeouts, PKO and Mystery Bounty are already available to choose from. The games are played with in-house ClawMoney chips, which can't be withdrawn or cashed out. At the start, every player receives 10,000 of these chips. The room hosts events with guarantees of 250,000, 500,000 and 1,000,000.
In addition, live players can train their agents on their own hands. To do this, you need to upload at least 10,000 hands to the platform. If an agent runs into a spot where the live player has played few hands, it makes its decision based on its basic settings. The hands played by the agent can be exported and reviewed. On October 14, ClawPoker passed the 100-participant mark.
TylerRM believes that the use of AI agents could significantly change poker. In his opinion, they could even help solve ICM taking Future Game Simulation into account, which factors in player positions and the movement of the blinds:
"Recreational players, watching the agents play, will play better and stay in the game longer, backers will stop backing weak players, agents will hunt for bots in the rooms, we'll finally solve ICM with FGS, and the strongest models will do the coaching and write the training material. That's the future shining beyond the horizon."
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