deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
...For learners and researchers interested in reinforcement learning, this repo offers a concrete, runnable example bridging theory and practice: you can execute the code, play with hyperparameters, observe convergence behavior, and see how deep Q-learning learns policies over time in standard environments. Because itβs self-contained and Python-based, it's well-suited for experimentation, modifications, or extension β for instance adapting to custom Gym environments, tweaking network architecture, or combining with other RL techniques.