Deep Q Learning Vs Cartpole

May 26, 2026
Quick Context: Modified reward function: 1.0 * ( -abs(Pole Angle) + 0.21 ) Batch size: 16 Structure shape: [128128128] -- this is overkill.

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  • Modified reward function: 1.0 * ( -abs(Pole Angle) + 0.21 ) Batch size: 16 Structure shape: [128128128] -- this is overkill.

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The BEST Deep Q-Learning example | Cart Pole Problem

The BEST Deep Q-Learning example | Cart Pole Problem

Read more details and related context about The BEST Deep Q-Learning example | Cart Pole Problem.

Deep Q-Learning vs Cartpole

Deep Q-Learning vs Cartpole

Modified reward function: 1.0 * ( -abs(Pole Angle) + 0.21 ) Batch size: 16 Structure shape: [128128128] -- this is overkill.

Simply Explaining Deep Q-Learning/Deep Q-Network (DQN) | Python Pytorch Deep Reinforcement Learning

Simply Explaining Deep Q-Learning/Deep Q-Network (DQN) | Python Pytorch Deep Reinforcement Learning

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