Tag: #dqn

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• [Deep RL] 06. Deep Q-Network: Principles and Implementation of DQN

  Understand the core ideas of DQN (experience replay, target network) that overcome the limitations of table-based Q-learning, and implement it in the Pong environment.

  2026-03-19 · 10 min read #reinforcement-learning#deep-learning#ai#dqn

• [Deep RL] 07. DQN Extensions: Double DQN, Dueling DQN, Rainbow

  Implement six core extension techniques that improve DQN performance (N-step, Double DQN, Noisy Networks, Prioritized Replay, Dueling DQN, Categorical DQN) and Rainbow which combines them all.

  2026-03-19 · 11 min read #reinforcement-learning#deep-learning#ai#dqn

• Reinforcement Learning Complete Guide: From DQN, PPO to RLHF and DPO for LLM Alignment

  From MDP fundamentals to DQN, PPO, SAC, RLHF, and DPO. Master the reinforcement learning techniques used for LLM alignment with PyTorch and Stable-Baselines3 code.

  2026-03-17 · 14 min read #reinforcement-learning#ppo#dqn#rlhf#dpo

• Reinforcement Learning Complete Guide: From Theory to the Latest Algorithms and Real Implementations

  Derives the major algorithms with their mathematics — from the core theory of MDPs and the Bellman equations through Q-Learning, DQN, Policy Gradient, A3C, PPO and SAC — and pulls together RLHF, AlphaGo and robotics appl

  2026-03-01 · 46 min read #reinforcement-learning#deep-learning#dqn#ppo#rlhf