retroagent-dual-intrinsic-feedback

Train LLM agents to evolve by generating dual intrinsic feedback signals—numerical rewards for capability progress and language lessons for future reuse. Combines hindsight reflection with memory-augmented RL using SimUtil-UCB retrieval.

Independent GitHub snapshot · Automated classification · Original documentation governs