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Implemenation of DDPG with numpy only (without Tensorflow)
Using deep Q-networks to train an agent to play flappy bird.
Policy-Based Methods. Learn the theory behind evolutionary algorithms and policy-gradient methods. Design your own algorithm to train a simulated robotic arm to reach target locations.
Using reinforcement learning method, Deep Q-Learning ("DQN") to have an agent learn an algorithm for automated stock trading.