Understanding reinforcement learning concepts, such as Markov Decision Processes, rewards, policies, and value functions. Exploring algorithms like Q-learning and deep Q-networks (DQN) for training agents to make sequential decisions.
Reinforcement Learning Definition Reinforcement Learning is a type of machine learning where an agent learns to make decisions by interacting with its environment. The agent learns to achieve a goal by receiving rewards or penalties for its actions. Key Components Agent: The entity or system that perceives the environment, takes actions, and receives rewards. Environment: The external system wi...…
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