66 citations · 249 across the 6 of their papers we have counts for
8 papers
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning
Tingting Zhao, Ying Wang, Wei Sun +3
Deep reinforcement learning (DRL) breaks through the bottlenecks of traditional reinforcement learning (RL) with the help of the perception capability of deep learning and has been…
Explicit symplectic methods in black hole spacetimes
Xin Wu, Ying Wang, Wei Sun +2
Many Hamiltonian problems in the Solar System are separable or separate into two analytically solvable parts, and thus give a great chance to the development and application of exp…
Applying explicit symplectic integrator to study chaos of charged particles around magnetized Kerr black hole
Wei Sun, Ying Wang, Fuyao Liu +1
In a recent work of Wu, Wang, Sun and Liu, a second-order explicit symplectic integrator was proposed for the integrable Kerr spacetime geometry. It is still suited for simulating…
Construction of explicit symplectic integrators in general relativity. IV. Kerr black holes
Xin Wu, Ying Wang, Wei Sun +1
In previous papers, explicit symplectic integrators were designed for nonrotating black holes, such as a Schwarzschild black hole. However, they fail to work in the Kerr spacetime…
Construction of explicit symplectic integrators in general relativity. III. Reissner-Nordstrom-(anti)-de Sitter black holes
Ying Wang, Wei Sun, Fuyao Liu +1
We give a possible splitting method to a Hamiltonian for the description of charged particles moving around the Reissner-Nordstrom-(anti)-de Sitter black hole with an external magn…
Construction of explicit symplectic integrators in general relativity. II. Reissner-Nordstrom black holes
Ying Wang, Wei Sun, Fuyao Liu +1
In a previous paper, second- and fourth-order explicit symplectic integrators were designed for a Hamiltonian of the Schwarzschild black hole. Following this work, we continue to t…