REINFORCEMENT LEARNING
REINFORCEMENT LEARNING What is reinforcement learning ? Reinforcement learning is a machine learning training method based on rewarding desired behaviors and / or punishing undesired ones . In general , a reinforcement learning agent is able to perceive and interpret its environment , take actions and learn through trial and error . How does reinforcement learning work ? In reinforcement learning , developers devise a method of rewarding desired behaviors and punishing negative behaviors . This method assigns positive values to the desired actions to encourage the agent and negative values to undesired behaviors . This programs the agent to seek long-term and maximum overall reward to achieve an optimal solution . These long - term goals help prevent the agent from stalling on lesser goals . With time , the agent learns to avoid the negative and seek the positive . This learning method has been adopted in artificial intelligence ( AI ) as a way...