Add to Favourites
To login click here
Reinforcement learning and evolutionary algorithms are two distinct approaches to training AI models, each with its own strengths and applications. RL involves an agent interacting with its environment to optimize decision-making, while EAs simulate natural selection to solve complex optimization problems. Both methods have been successfully used in various fields, such as gaming and robotics.