This practical guide will teach you how deep learning (DL) can
be used to solve complex real-world problems.
Explore deep reinforcement learning (RL), from the first
principles to the latest algorithms
Evaluate high-profile RL methods, including value iteration,
deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG,
evolution strategies and genetic algorithms
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