#meta-agent

'Step-by-step tutorial showing how to build an agentic Deep RL pipeline with a Dueling Double DQN, curriculum progression, adaptive exploration, and a UCB meta-agent that plans training.'

'W4S trains a 7B meta-agent to program Python workflows that call stronger LLM executors, using offline RL to iteratively generate, execute, and refine solutions. The approach yields consistent gains across 11 benchmarks and achieves Pass@1 of 95.4 on HumanEval with GPT-4o-mini.'