Maxim Lapan Deep Reinforcement Learning Hands-On Reviews Summary
Ratings Breakdown
Rated 4.4 by 172 people
Pros from Reviews
- Ideal theory and practice mix
- Clear and detailed explanations
- Good practical examples
- Comprehensive coverage of topics
- Logical structure and progression
- Helpful for beginners
- Insightful ideas and tips
- Good for hands-on learning
Cons from Reviews
- Code often incompatible
- Troubleshooting left to reader
- Requires prior Python knowledge
- Some concepts not explained
- High resolution visuals lacking
Notable Features
Hands-on coding
Latest RL techniques
Updated for PyTorch
Multi-agent environments
Practical applications
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