Research Article

[Retracted] The Design of Sports Games under the Internet of Things Fitness by Deep Reinforcement Learning

Table 1

Constraint table of the incoming ball state of the present hitting plane.

Experimental variablesRanges

Px[-50 cm, +50 cm]
Py121.3 cm
Pz[0, 50 cm]
Vx[-50 cm/s, +50 cm/s]
Vy[250 cm/s, 650 cm/s]
Vz[-50 cm/s, +50 cm/s]
Wx[-100 rad/s, +100 rad/s]
Wy10 rad/s
Wz[-100 rad/s, +100 rad/s]
Ptx[-80 cm, +80 cm]
Pty[-110 cm, -30 cm]
Nx[-0.5, 0.5]
Ny-1
Nz[-0.5, 0.5]

The range of motion variables generated by the simulated environment is -50 cm/s < vrx<50 cm/s, -300 cm/s < vry<0 cm/s, -50 cm/s < vrx<50 cm/s.