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4.4
32 reviewsPart 1: Reinforcement Learning Foundations
1 Introduction to Deep Reinforcement Learning
2 Planning For Sequential Decision-Making Problems
3 Learning to Act Through Interaction
4 More Effective and Efficient Reinforcement Learning
Part 2: Deep Reinforcement Learning Algorithms
5 Value-based Methods 6 Policy-based Methods
7 Actor-Critic Methods
8 Gradient-Free Methods
Part 3: Advanced Applications
9 Advanced Exploration Strategies
10 Reinforcement Learning in Robots
11 Reinforcement Learning with Multiple Agents
12 Towards Artificial General Intelligence
