#AIImpactOnForex Reinforcement Learning (RL) is a machine learning technique where an agent learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties. In the context of strategy evolution, RL helps in developing and refining strategies over time. The agent explores different actions, adapts to changes, and continually improves its decision-making based on the rewards it receives. This approach is particularly useful for evolving strategies in dynamic environments, such as games, business decision-making, or robotics, where optimal strategies are not predefined and can change as the environment evolves. RL allows for the continuous adaptation and optimization of strategies in complex, uncertain situations.