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

Dingyi Rong, Yue Shi, Chaofan Ma +5

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 supervi…