Monte Carlo Methods §

Group: 5 #group-5

Relations §

• Simulations: Monte Carlo simulations use random sampling techniques to approximate solutions to complex problems.
• Computer Simulation: Monte Carlo methods are computational algorithms that use random sampling to simulate and analyze complex systems.
• Molecular Simulations: Monte Carlo methods are used in molecular simulations to sample configurations of molecular systems.
• Reinforcement Learning: Monte Carlo methods are a class of reinforcement learning algorithms that learn from complete episodes.