Kai-Wen Jiang

TSRL: Trigger-based Supervised Reinforcement Learning for Continual Agent Training

Large language model (LLM) agents excel at complex, multi-step tasks but suffer from catastrophic forgetting during continual learning--acquiring new skills often degrades previously mastered capabilities. Existing post-training paradigms face a fundamental trade-off: Supervised Fine-Tuning (SFT) is sample-efficient bu...