ode-solver

GenPO++ proposes a reversible generative policy optimization framework that uses history states as auxiliary memory in a high-order reversible ODE solver, enabling exact inversion and Jacobian-free likelihood-ratio computation for flow-based policies in reinforcement learning. It achieves competitive performance on large-scale control, fine-tuning, and real-world robotic tasks while improving stability and efficiency.