1.0Glosarixhttps://glosarix.com/en/Team Glosarixhttps://glosarix.com/en/author/adm_glosarix/Reward Function Approximation - Glosarixrich600338<blockquote class="wp-embedded-content" data-secret="9OHLtZXOGn"><a href="https://glosarix.com/en/glossary/reward-function-approximation-en/">Reward Function Approximation</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/reward-function-approximation-en/embed/#?secret=9OHLtZXOGn" width="600" height="338" title="“Reward Function Approximation” — Glosarix" data-secret="9OHLtZXOGn" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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Description: The Reward Function Approximation is a fundamental technique in the field of reinforcement learning, used to estimate the reward function in situations where it is difficult to define it explicitly. In reinforcement learning, an agent interacts with an environment and learns to make decisions by maximizing accumulated rewards over time. However, in many cases, […]