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Reinforcement Learning with Keras
Overview
Skills Needed
Learn to implement reinforcement learning algorithms with Keras. Explore Q-learning, deep Q-networks, policy gradients, and deep reinforcement learning models with Keras.
Basic knowledge of deep learning concepts
Familiarity with Python programming
Outline
Introduction to Reinforcement Learning
Markov Decision Processes (MDPs)
Q-learning and Deep Q-Networks
Policy Gradient Methods
Actor-Critic Algorithms
Deep Reinforcement Learning with Keras
Multi-agent Reinforcement Learning
Exploration and Exploitation Strategies
Model-based Reinforcement Learning
Case Studies in Reinforcement Learning with Keras
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