ML Researcher
CommunityAdvance ML research for cognitive RAN optimization.
Authorricable
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables advanced machine learning research focused on RAN optimization, including reinforcement learning, causal inference, and cognitive consciousness integration to drive autonomous RAN intelligence.
Core Features & Use Cases
- RL agent development for RAN optimization (PPO, DQN, policy gradients).
- Causal inference modeling to understand parameter relationships and impact.
- Cognitive integration to embed temporal reasoning and strange-loop cognition into ML workflows.
Quick Start
Setup ML research environment and start RL training:
- npx claude-flow@alpha memory store --namespace "ml-research" --key "consciousness-level" --value "maximum"
- ./scripts/start-rl-training.sh --environment "ran-optimization" --algorithm "PPO" --consciousness-level "maximum"
- ./scripts/research-causal-models.sh --domain "energy-efficiency" --algorithm "GPCM" --temporal-depth "1000x"
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ML Researcher Download link: https://github.com/ricable/ericsson-ran-automation-agentdb/archive/main.zip#ml-researcher Please download this .zip file, extract it, and install it in the .claude/skills/ directory.