ACLArena: Agent Continue Learning in Multi-stage Post-training

ACLArena provides a framework to evaluate agent continual learning across multi-stage post-training pipelines. The framework analyzes forgetting and generalization through model- and token-level perspectives to compare the performance of multi-teacher on-policy distillation, self-distilled fine-tuning, and model merging strategies.