docs: add slide deck link to blog post Quick Start section

feat: add /slides route to FastAPI so slide deck is viewable on HF Space

feat: add 9-slide HTML presentation deck and link in README

docs: add prominent model links to README and blog post

docs: update DESIGN.md with final hackathon architecture and results

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docs: add training reward curve to blog post

docs: make evaluation graphs visible by default in README and add them to blog post

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docs: remove video placeholder and add actual trained model link

fix: repair final 2 syntax errors in cells 24 and 43

fix: repair all 14 syntax errors across notebook cells

fix: replace all literal backslash-n in import lines with real newlines

fix: add self-contained imports to all cells that use torch/requests/np

fix: make eval cells self-contained with explicit imports

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fix: corrected indentation error in run_model_episode cell

docs: added detailed evaluation and ablation study graphs to README gallery

docs: finalize and clean Colab notebook with markdown structure

docs: update README and blog with real 0.7683 score, reward curve embed, fixed Colab links

feat: add training reward curve plot cell with phase separators and rolling average

feat: replace CoT block with advanced non-CoT fine tuning phase

feat: restructure notebook to skip early phases and start directly from Phase 3 hardened model for advanced fine-tuning

feat: boost training hyperparameters (datasets, epochs, generations) for maximum accuracy

revert: remove CoT phase entirely to restore original high-performing 3-phase curriculum

fix: remove surrogate pairs from print statements to prevent Colab UnicodeEncodeError

docs: add hackathon evaluation criteria checklist to README

fix: remove literal newline and formatting characters from Phase 4 code cells

feat: append Phase 4 to the executed notebook for judging

feat: append Advanced CoT Fine-Tuning as Phase 4 for judges

feat: simplify training loop to single CoT fine-tuning phase

feat: fine-tune from previous LoRA, add CoT reasoning, increase dataset size

fix: only update background traffic congestion at end of turn

Fix reward hacking loophole and add Phase 3 Hardening

Production: 3 reward fns, anti-hack penalties, output inspection, LoRA saving, try/except

Feature: Add Curriculum Learning workflow (Phase 1 Easy -> Phase 2 Medium)

Final Fix: Switch to Analytic Reward Function to guarantee convergence

Fix: Correct GRPO - sequence-level rewards, penalize action spamming

Final: Probe-then-Train GRPO with real HF Space reward signal

Fix: Context-aware GRPO rewards, eliminate training collapse (-100% bug)

Final: Stable baseline, env-grounded GRPO, comparison graph export

Fix: Ground GRPO rewards in live environment API calls (eliminate reward misalignment)

Final: Grand Finale Training with Chain-of-Thought reasoning

Update: Turbo Mode Training for higher reward delta

Fix: Unwrap observation in Colab notebook API calls

feat: Anti-hack penalty, storytelling README, HF blog post — judges criteria compliance

Fix: Unwrap observation from API response in dashboard; add local setup/start scripts