Reinforcement Learning, Machine Learning, Deep Learning, Artificial Intelligence.
result in a relatively stable learning process, as the agent learns from its own actions. However, it can also lead to slower convergence and limited exploration of the state space. Characteristics of On-Policy RL: 1. Policy Update: The policy is updated using the experiences generated by the