Table 5 Neural network input and output dimensions for all experiment difficulties.

From: Designing mechanically tough graphene oxide materials using deep reinforcement learning

 

Easy

Medium

Hard

Extra Hard

input (st)

66

132

308

570

output (\(\pi \left( { \cdot {{{\mathrm{|}}}}{{{\mathbf{s}}}}_t} \right)\))

66

132

132; 176

240; 330

  1. For Hard and Extra Hard outputs, the first number refers to the hydroxyl network and the second number refers to the epoxide network.