Hard instance learning for quantum adiabatic prime factorization

no code implementations • 10 Oct 2021 • Jian Lin, Zhengfeng Zhang, Junping Zhang, Xiaopeng Li

Prime factorization is a difficult problem with classical computing, whose exponential hardness is the foundation of Rivest-Shamir-Adleman (RSA) cryptography.

Reinforcement Learning (RL) Transfer Learning

Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration

no code implementations • 27 Sep 2021 • Zhaorun Chen, Binhao Chen, Shenghan Xie, Liang Gong, Chengliang Liu, Zhengfeng Zhang, Junping Zhang

In complex environments with high dimension, training a reinforcement learning (RL) model from scratch often suffers from lengthy and tedious collection of agent-environment interactions.

Reinforcement Learning (RL)