Dana Sheahen
Content Developer
Value-Based Methods
Combine cutting-edge reinforcement learning techniques with deep learning architectures. Use Q-networks and experience replay to train agents capable of navigating and adapting to real-time environments.
- Course
- Advanced
- 10 hours
- Updated: Aug 13, 2025
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates
Skills you'll learn
5 skills
- Value-based reinforcement learning
- Prioritized experience replay
- Deep q-networks
- Double deep q-networks
- Dueling deep q-networks
Prerequisites
5 prerequisites
Prior to enrolling, you should have the following knowledge:
- Reinforcement learning fundamentals
- Deep learning framework proficiency
- Neural network basics
- Object-oriented programming basics
- Intermediate Python
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 3 lessons
- 1 project
Program Instructors
3 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Arpan Chakraborty
Instructor
Kelvin Lwin
AI | Knowledge Architect
Dana Sheahen
Content Developer
Arpan Chakraborty
Instructor
Kelvin Lwin
AI | Knowledge Architect
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates