Integrating chemical information into reinforcement learning for enhanced molecular geometry optimization.
In reinforcement learning for molecular geometry optimization, what is the primary benefit of integrating chemical information?
A. Improved convergence rate
B. Reduced computational cost
C. Enhanced accuracy of predictions
D. Greater scalability