Tag: Reinforcement Learning
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DQN vs Double DQN vs Dueling DQN: Atari Breakout Benchmark
Compare DQN, Double DQN, and Dueling DQN performance on Atari Breakout. Which architecture solves overestimation and learns faster? Benchmark results inside.
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PPO Entropy Decay Bug: Why Exploration Dies at 500K Steps
Your PPO agent flatlines at 500K steps because entropy coefficient decay silently kills exploration. Here's the adaptive fix that saved my Ant-v4 runs.
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Q-Learning from Scratch: 50-Line Agent Beats Random by 94%
Write a 50-line Q-Learning agent that beats random policy by 94% on FrozenLake. Hyperparameter mistakes, convergence curves, and why it fails on CartPole.
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On-Policy vs Off-Policy RL: PPO vs SAC on 5 Gymnasium Tasks
Compare PPO and SAC on 5 Gymnasium tasks. Discover which RL algorithm wins in sample efficiency, stability, and performance across environments.
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Gymnasium Custom Environment: 7 Patterns That Save Hours
Build Gymnasium custom environments faster with 7 proven patterns. Fix common pitfalls in reset(), step(), and observation spaces that waste hours.
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PPO vs DQN: Discrete Action Spaces Beat Continuous 3x
Compare PPO and DQN performance on discrete vs continuous control tasks. Surprising speed differences revealed through benchmark experiments.
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SAC Entropy Tuning: Auto-Alpha Cuts Failures by 80%
Learn SAC entropy tuning with auto-alpha to slash RL training failures by 80%. Discover the temperature coefficient trick that stabilizes learning.
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PPO vs SAC vs TD3: MuJoCo Humanoid Training in 5M Steps
Compare PPO, SAC, and TD3 on MuJoCo Humanoid: sample efficiency, stability, and final performance revealed in a 5M-step RL benchmark showdown.