AI Programs
Reinforcement Learning: Theory to Practice
Build intelligent agents using Q-Learning, Deep Q-Networks, and Policy Gradient methods.
★★★★★
4.70 (48 reviews)
134 students
60 hours
Advanced
About This Course
Learn Markov Decision Processes, Q-learning, SARSA, DQN, A3C, PPO, and build game-playing agents and real-world RL applications using OpenAI Gym and Stable-Baselines3.
What You'll Learn
- Core AI/ML concepts
- Hands-on real-world projects
- Industry-standard tools
- Career-ready skills
Instructor
S
Saurav Kumar
Expert in Computer Science with 10+ years of teaching experience
₹4,499
₹8,999
50% OFF
134 students enrolled
60 hours content
English
Certificate of completion