EP350: Training AI agents without live environments

Title: Multi-Turn On-Policy Distillation with Prefix ReplaySource: http://arxiv.org/abs/2607.04763v1Summary:This paper addresses a critical training bottleneck for LLM agents by introducing an off-environment distillation method that resolves the 'prefix trap' in multi-turn interactions. By enabling scalable on-policy distillation with a 4x training speedup and zero tool calls, it establishes a highly efficient framework for training LLM agents across diverse environments.