Gaming●●Solid
178K Parameter Neural Net That Wins Poke(rogue)like
178K parameter model beats a Pokemon roguelike after the author rage-quit hundreds of times.
CozyRabbit Hole
farcaster
4012d ago
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Watch a neural net discover molecules by arguing with itself
by cmaicurious·May 14, 2026·1 point·0 comments
AI Analysis
●●●BangerWizardryRabbit HoleBig Brain
Two RL clones duel in-browser with epiplexity selection — no human tuning the explore-exploit knob.
Strengths
- •Epiplexity-based winner selection (critic learning gain) is a genuinely novel meta-RL approach.
- •Runs entirely in-browser with TF.js and RDKit — no server, no GPU, real training visible live.
- •Sparse-reward molecular discovery with SELFIES representation and Tanimoto similarity metrics.
Weaknesses
- •Educational demo rather than production tool — limited to ~75k params and simple targets.
- •Niche audience: only ML folks who care about RL architecture will dig into the mechanics.
Category
Target Audience
ML researchers, students learning reinforcement learning
Similar To
TensorFlow.js RL demos · ChemOS · GuacaMol
Post Description
Uses epiplexity selection and meta-rl to find molecules
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