Soft Robotics
In the context of reinforcement learning, the environment refers to everything that an agent interacts with while trying to achieve a specific goal. This includes all the states, actions, rewards, and dynamics that affect how an agent learns and makes decisions. The environment acts as a feedback mechanism, where the agent receives information about its actions and learns to optimize its behavior based on that feedback.
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