graph modelling

feat: implement Kubernetes executor for automated cluster scaling and infrastructure management

upgraded to 10 nodes

feat(curriculum): add progressive training curriculum management

Add reward handling and normalization features to environment

feat: Add observability setup guide and integrate Prometheus and Grafana

basic of grafan, kuber, and prometheus added

added VIP nodes, which have a higher weightage

fixed task 1, 2, 3

feat: implement core SRE simulation environment, Pydantic schemas, and physics models for task-based cluster management

kinda almost fixed task 1

normalized, better grading and env

tmp

update cost model and observation descriptions for clarity and accuracy

added dropout, probability, normalization, and limits to values. Making the environment more challenging and balanced

renamed