Tag: Deep RL
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DDPG from Scratch: 400-Line PyTorch Implementation
Build a DDPG agent from scratch in 400 lines of PyTorch. Learn continuous action RL with policy gradients, replay buffers, and target networks.
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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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Game AI with RL: Why It Beats Traditional Methods
Why RL beats rule-based game AI: exploration-exploitation tradeoff, credit assignment, and when traditional pathfinding still wins.