From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents

From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents explores Develop an RL system for interactive agents using self-evolving synthetic data and verifier-based strategies for scalable tool-use training.. Commercial viability score: 3/10 in Agents.