Foundations of reinforcement learning
Core concepts
Markov decision processes
Rewards and punishments
Reinforcement learning algorithms
Dynamic programming
Monte Carlo methods
Temporal difference learning
Q-learning
Deep Q-networks
Applications of reinforcement learning
Game playing
Robotics
Autonomous systems
Recommendation systems
Advanced topics in reinforcement learning
Policy gradients
Actor-critic methods
Inverse reinforcement learning
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