Pawar, Urvi

Fractional Policy Gradients: Reinforcement Learning with Long-Term Memory

2025 · arXiv (Cornell University)

We propose Fractional Policy Gradients (FPG), a reinforcement learning framework incorporating fractional calculus for long-term temporal modeling in policy optimization. Standard policy gradient approaches face limitations from Markovian assumptions, exhibiting high variance and inefficient sampling. …