SERO: Learning from Executable Oracle Continuations for Long-Horizon Agentic Reinforcement Learning.

arXiv:2610.19397v1 Announce Type: new Abstract: Long-horizon agentic RL is constrained by the futures visited by the current policy. When rollouts fail to reach useful behaviors, improved credit assignment cannot provide supervision for states and actions that