Maxim Lapan Deep Reinforcement Learning Hands-On: 2nd Edition Reviews Summary

Ratings Breakdown

Rated 4.5 by 159 people

Pros from Reviews

  • Ideal mix of theory & practice
  • Great visuals
  • Clear and detailed
  • Excellent practical implementations
  • Covers hot topics in RL
  • Best RL practical book
  • Good introduction to PyTorch
  • Great for learning and advancing in RL

Cons from Reviews

  • Buggy code
  • Book in bad condition

Notable Features

Practical RL Methods
Text-Based Games
Discrete Optimization
Robotics Domain
Advanced Exploration
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