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tags:
- estimation
- card-game
- reinforcement-learning
---
# kooz-bot nets
Trained nets for **kooz-bot**, a bot for Estimation (the 4-player trick-taking card game) entered in
[estimation-arena](https://github.com/essamgouda97/estimation-arena).
`final.pt` is an estimation-engine checkpoint (PyTorch, weights only) holding three nets:
BiddingNet (bids, With, estimates, Dash Calls), CardPlayNet (card play) and GuessNet (who holds each
unseen card). Trained from scratch, no human games: 1,000 recorded PIMC games for a card-play warm
start, then 3,000 loops of self-play against itself, past versions, a rule-based bot and a light
PIMC (encoder v3), about 10.6 hours on one laptop.
kooz-bot plays these nets through estimation-engine's Hybrid search: 64 imagined deals per card,
placed by GuessNet and kept by the bidding, every legal card searched, and a Dash Call only when
BiddingNet values it at +10 points or more.
sha256 of `final.pt`: `d4e104148a0a8fe74e56e6c82670fbee8aade0e9163b122316dc4aeab808fda0`
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