Source: unstop Remote / Online
Pokerbots
Organized by International Institute of Information Technology (IIIT), Bangalore•university•India
DEADLINEOct 5, 2026Registration Closed
EVENT DATESOct 5 - Nov 12Timeline window
PRIZE POOL🏆 Certificates & SwagVerified bounties
Pokerbots
About the Opportunity
About the Event:Test your algorithmic trading and game theory skills in Pokerbots, a high-stakes algorithmic bot competition!Teams must code an autonomous Python bot to compete in a custom poker variant designed with modified Texas Hold’em mechanics to prevent the use of public repositories.Technical & Runtime Constraints:Environment: Python 3.11.Allowed Libraries: Standard Python libraries, NumPy, and SciPy only (no pip installations allowed at runtime).Compute Limits: 1 vCPU, 1 GB RAM, read-only filesystem, and zero network access.Time Bank: Cumulative time bank per match (~60 seconds for 400 hands) with a hard wall-clock kill. Crashes or exhausted time banks result in match forfeiture.Communication Protocol: Bots operate automatically via a predefined stdin/stdout protocol.Tournament Structure & Progression:All matches utilize duplicate deals (playing every deal twice with swapped seats) to mitigate luck and seat advantage.Stage 1 (Swiss Qualifier): Valid bots play 6 rounds of ~200 duplicate deals (400 hands). Match points: 1 for Win, 0.5 for Draw, 0 for Loss.Stage 2 (Top 32 Finals): The top 32 qualifying teams advance to a full round-robin stage (~500 duplicate deals each). Scores reset prior to this stage.Tie-Breakers: Calculated using a capped chips per hand formula.Rules & Regulations:Team Size: Teams must consist of exactly 2 members. An individual can only be on one team.Submissions: Teams can re-upload/overwrite submissions until November 15th at 23:59 IST. Only the last valid upload counts.Fair Play & Code Review: Code copying, collusion, and network calls are strictly prohibited. Winners' source code will undergo a thorough manual review prior to prize payouts.Evaluation Criteria:Duplicate Deal Performance: Match points accrued during the Swiss Qualifier and final standings in the round-robin stage.
Relevant Tech & Domains
Data Science
Score Composition (0–100)
Hiring Potential (25%)30%
Organizer Prestige (20%)85%
Accessibility & Format (15%)100%
Data Quality (10%)85%