🛠️ Searching for optimal strategies in a puzzle game with chance (Drop7)
Summary
A research project investigating optimal automated strategies for the puzzle game Drop7, which combines search, hidden information, and chance. The author compares automated bot scores against human performance while exploring agents as research collaborators.
Why it’s interesting
It explores stochastic planning and long-horizon action ranking to build an autonomous agent that can rival experienced human players.
Source metrics: Points 2 · Comments 0
HN discussion · Project
Source: #HackerNews / Show HN
Summary
A research project investigating optimal automated strategies for the puzzle game Drop7, which combines search, hidden information, and chance. The author compares automated bot scores against human performance while exploring agents as research collaborators.
Why it’s interesting
It explores stochastic planning and long-horizon action ranking to build an autonomous agent that can rival experienced human players.
Source metrics: Points 2 · Comments 0
HN discussion · Project
Source: #HackerNews / Show HN