Exploration vs Exploitation in Reinforcement Learning
In Reinforcement Learning, exploration vs exploitation is a fundamental trade-off that agents must navigate to learn the optimal behavior in an environment. Exploration refers to the process of trying out new actions or visiting new states in order to gain more information about the environment and improve the agent’s understanding of the rewards and transition…