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    <title>Bridge on Reinforcement Learning Curriculum</title>
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      <description>Review ML Foundations and see why linear models fail on complex patterns — motivation for neural networks.</description>
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      <title>Volume 1 Review &amp; Bridge to Volume 2</title>
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      <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
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      <description>Review Volume 1 concepts and preview Volume 2. From dynamic programming (model-given) to model-free methods.</description>
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      <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
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      <description>Review Volume 2 tabular methods and preview Volume 3. From Q-tables to neural network function approximation.</description>
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      <title>Volume 3 Review &amp; Bridge to Volume 4</title>
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      <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
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      <description>Review Volume 3 (DQN and variants) and preview Volume 4 (Policy Gradients). From value-based to policy-based methods.</description>
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      <title>Volume 4 Review &amp; Bridge to Volume 5</title>
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      <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
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      <description>Review Volume 4 (Policy Gradients, Actor-Critic, DDPG, TD3) and preview Volume 5 (PPO, TRPO, SAC — stable, scalable policy optimization).</description>
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      <title>Volume 5 Review &amp; Bridge to Volume 6</title>
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      <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
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      <description>Review Volume 5 (PPO, TRPO, SAC) and preview Volume 6 (Model-Based RL — learning world models and planning).</description>
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      <title>Volume 6 Review &amp; Bridge to Volume 7</title>
      <link>https://codefrydev.in/Reinforcement/curriculum/volume-06/review-and-bridge/</link>
      <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://codefrydev.in/Reinforcement/curriculum/volume-06/review-and-bridge/</guid>
      <description>Review Volume 6 (Model-Based RL, MCTS, Dyna-Q, world models) and preview Volume 7 (Exploration — intrinsic motivation, curiosity, and sparse rewards).</description>
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      <title>Volume 7 Review &amp; Bridge to Volume 8</title>
      <link>https://codefrydev.in/Reinforcement/curriculum/volume-07/review-and-bridge/</link>
      <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://codefrydev.in/Reinforcement/curriculum/volume-07/review-and-bridge/</guid>
      <description>Review Volume 7 (Exploration, ICM, RND, Go-Explore, Meta-RL) and preview Volume 8 (Offline RL, Imitation Learning, RLHF).</description>
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      <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
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      <description>Review Volume 8 (Offline RL, Imitation Learning, IRL, RLHF) and preview Volume 9 (Multi-Agent RL — cooperation, competition, game theory).</description>
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      <pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://codefrydev.in/Reinforcement/curriculum/volume-09/review-and-bridge/</guid>
      <description>Review Volume 9 (Multi-Agent RL, game theory, QMIX, MAPPO) and preview Volume 10 (Real-World RL — safety, alignment, LLMs, deployment).</description>
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