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Commit History
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feat: cinematic UI overhaul + comprehensive README
UI (gradio_app.py): - Full CSS animation system: gradient-shift, glow-pulse, pulse-badge, fadeInUp, shimmer - Hero section: animated gradient title, pulsing glow orbs, badge strip, GRPO stats panel - Primary button: 3-stop animated gradient + shimmer sweep on hover - Stage tracker: per-stage accent colors, segmented score bar, corner glow orb - Code/terminal boxes: JetBrains Mono, line-numbered, indigo-tinted borders - Comparison tab: private-instance isolated agents, side-by-side scorecards - LLM Agent tab: cinematic banner with live indicator badges README.md: - Full submission checklist with all required items - Training results section with raw reward data table - Observation/action space reference tables - Reward function breakdown table - OpenEnv compliance checklist - Quick start curl + Python examples - Project structure tree Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>37a1d2f
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fix: align RewardEngine with actual stage tasks, fix step budget to 60, enable stage-specific reset
aa04f19 -
fix: wire RewardEngine into environment for dense rewards, fix step-limit mismatches
a166934 -
docs: hackathon-ready README with training evidence and 4-stage cascade
efaec4a
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feat: add baseline results and update documentation for DataEngEnv
4dc1b57 -
docs: add README.md with project overview, environment specifications, and API documentation
8fb4252 -
chore: clear README content and add Git LFS attributes configuration
b5587c0 -
DataEngEnv - Meta AI Hackathon submission
4189f0e -
initial commit
7e071a3