A user is seeking guidance on developing an AI for a stochastic single-player merge puzzle game. The game features a larger action space than 2048, stack constraints, and a unique mechanic where upcoming random tile drops are previewed one move in advance. The user has a simulator and is looking for algorithms, papers, or implementations to learn values and policies, focusing on maximizing merged tiles over a long horizon or within a time limit. AI
IMPACT This query may lead to novel approaches in planning and reinforcement learning for games with stochastic elements and lookahead capabilities.
RANK_REASON User is asking for help with a specific technical problem related to game AI, not announcing a new development.
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