Tag: Reinforcement Learning
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DQN Overestimation Bias: 3 Double-Q Fixes That Work
DQN agents plateau at 60% optimal? Overestimation bias is why. Compare 3 Double-Q fixes on LunarLander with real training curves.
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PPO Training Diverges After 1M Steps: Clipping & LR Fixes
PPO training collapse after 1M steps? Learn how gradient clipping and learning rate schedules prevent policy divergence in deep RL implementations.
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Gymnasium vs Stable Baselines3 vs RLlib: API Complexity
Beginners waste weeks on RLlib setup before training one agent. Here's why Stable Baselines3 beats distributed frameworks for your first 3 RL projects.
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DQN vs PPO vs SAC: MuJoCo Training Speed Benchmarks
DQN fails on continuous control. SAC beats PPO 2-3x in sample efficiency but costs 20% more wall-clock time. Real benchmarks on HalfCheetah, Hopper, Ant.
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Custom Gymnasium Environment: Portfolio Project Guide
Build a custom Gymnasium environment from scratch for your portfolio. Learn registration, spaces, and reward shaping that makes recruiters take notice.
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SimpleRL: Building DQN to PPO from Scratch in 500 Lines
Build DQN and PPO reinforcement learning algorithms from scratch in under 500 lines. Step-by-step implementation guide with minimal dependencies.
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PPO Hyperparameters That Crash in Production: 5 Silent Failures
Fixed clip range, constant entropy, and training-optimized batch sizes silently kill production RL agents. Here's what actually breaks.
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RL Transfer Learning: Atari to Custom Tasks with SB3
Transfer a pretrained DQN from Atari Pong to custom tasks in 100 episodes. Replay buffer tricks and exploration tuning that actually work.