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{% extends "Test-layout.html" %}
{% block content %}
<h1 class="text-4xl font-bold text-gray-800 mb-6">Reinforcement Learning</h1>
<p class="text-gray-600 text-lg mb-8">Reinforcement learning (RL) is a subfield of machine learning where an agent learns to make decisions by taking actions in an environment to maximize some cumulative reward.</p>
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<h2 class="text-2xl font-semibold text-gray-800 mb-4">Core Concepts of RL</h2>
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<a href="/agent-environment-state-test" class="algorithm-box">Agent, Environment, and State</a>
<a href="/action-policy-test" class="algorithm-box">Action and Policy</a>
<a href="/reward-value-function-test" class="algorithm-box">Reward and Value Function</a>
<a href="/q-learning-test" class="algorithm-box">Q-Learning</a>
<a href="/deep-reinforcement-learning-test" class="algorithm-box">Deep Reinforcement Learning</a>
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