gouravnayak97/MARL_cloud_resource_allocation

Update Blog.md

Update Blog.md

Fix HF Space 404: Add root endpoint

changed readme

initial commit

requirements for HF space specifically

Rename Dockerfile.dockerfile to Dockerfile

Update Dockerfile.dockerfile

Add final generated TRL dataset for student distillation

Add Docker Space deployment configuration.

Fix: Update model reference in reflexion.py and add initial Blog.md draft

Add detailed README for cloud autoscaling evaluation.

Fix: Add system_prompt to Oracle and Scientist, update run episodes

Clean up for P3: Remove trainer template but keep dependencies

Update P3 pipeline: Add Unsloth/DPO Trainer and training dependencies

Final fix for random_baseline.py: restore total_reward key for averaging

Fix KeyError in random_baseline.py: map total_reward to score

Enhance Random Baseline: 3-run averaging and JSON persistence

Add Random Baseline script for P1 to generate comparison data

Fix step-fail bug in run.py for cleaner log data

Battle-Harden pipeline: Add resume logic, min-dataset guarantee, and per-episode backups

Close the Reflexion loop: Add telemetry logging, failure analysis, and governance rule injection

Merge remote changes and prioritize Nexus architecture

Finalize Teacher-Student architecture: Smart Gating, LLM-Reasoning Scaffolds, and Hardened Physics

reflexion loop

new agents

Refactor grade_episode to handle file path or history

Create requirements.txt

Delete app/.gitignore

Delete app/requirements.txt

Create .gitignore

Create .gitignore

agents

Create requirements.txt

Implement Grader class for episode grading

Update P1 Architect files for Round 2: 10-step delay and non-linear congestion

Initial commit