pre-evolved agents obtained with evorobotpy2
Performance obtained in 10 replications by post-evaluating agents on new random environmental conditions
Acrobot : -65.47 +-2.09
Long Double Pole Balancing : 738.92 +-5.92
Pendulum : -157.33 +-25.44
Swing-up : 929.91 +-0.44
Discrim : 383.90 +-72.24
Pybullet Hopper : 2515.47 +-118.32
Pybullet Halfcheetah : 2355.25 +-353.51
Pybullet Ant : 1418.42 +-339.31
Pybullet Wallker2d : 1147.26 +-550.73
Pybullet Humanoid : 2243.38 +-756.84