Symplectic Recurrent Neural Networks

Zhengdao Chen, Jianyu Zhang, Martin Arjovsky +1

We propose Symplectic Recurrent Neural Networks (SRNNs) as learning algorithms that capture the dynamics of physical systems from observed trajectories. An SRNN models the Hamilton…