REINFORCEMENT LEARNING FOR AI AGENTS
🚀 Master Reinforcement Learning and Build Smart AI Agents!
Why Attend This Workshop?
✅ Want to build AI agents that learn through rewards and penalties?
✅ Curious about reinforcement learning (RL) for robotics, gaming, and finance?
✅ Looking for hands-on experience with Q-learning, Deep Q Networks (DQN), and policy optimization?
Join our Reinforcement Learning for AI Agents Workshop and get hands-on experience with state-of-the-art RL techniques and frameworks!
🔹 Duration: 1 Day / 8 Hours
🔹 Mode: Online & Offline
🔹 Level: Intermediate – Advanced
🔹 Prerequisites: Basic Python & Machine Learning
What You Will Learn
| Module 1: | Introduction to Reinforcement Learning | Understanding Markov Decision Processes (MDP) | Rewards, Actions, and Policy Optimization |
| Module 2: | Q-Learning & Deep Q Networks (DQN) | Implementing Q-learning algorithms from scratch | Building Deep Q Networks using TensorFlow/PyTorch |
| Module 3: | Policy Gradient Methods & Actor-Critic Models | Understanding policy-based reinforcement learning | Implementing A3C & PPO algorithms |
| Module 4: | Hands-On RL Projects | Building AI-powered gaming agents (Atari, OpenAI Gym) | Developing RL-driven robotic control systems |
| Module 5: | Applications & Industry Use Cases | Reinforcement Learning in robotics, finance, and automation | Real-world examples from DeepMind’s AlphaGo & OpenAI’s ChatGPT |
Who Should Attend?
✅ AI & ML Developers looking to specialize in RL
✅ Students & Researchers working on AI-driven agents
✅ Data Scientists & Engineers exploring real-world RL applications
✅ Game Developers & Robotics Enthusiasts
“Basic machine learning experience is recommended”
Why Choose HERE AND NOW AI?
✔ Industry-Expert Instructors – Learn from AI professionals
✔ Hands-On AI Training – Work on real-world reinforcement learning projects
✔ Certification of Completion – Get an official AI workshop certificate
✔ 100% Practical Learning – Implement RL models from scratch
🔹 Master RL & Build AI Agents That Learn and Adapt
🔹 Gain Expertise in Q-Learning, DQN, and Policy Gradients
🔹 Join the Future of AI & Reinforcement Learning!
FAQ – Frequently Asked Questions
Basic Python and machine learning knowledge is recommended.
OpenAI Gym, TensorFlow, PyTorch, Stable-Baselines3, and more.
Yes! You’ll get a Certificate of Completion after the workshop.
Yes, both online and offline options are available.