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Duration 14 hours
Course Outline
Foundations of Reinforcement Learning
- An overview of reinforcement learning and its diverse applications
- Distinguishing between supervised, unsupervised, and reinforcement learning paradigms
- Core concepts: agents, environments, rewards, and policies
Markov Decision Processes (MDPs)
- Analyzing states, actions, rewards, and state transitions
- Value functions and the Bellman Equation
- Applying dynamic programming to solve MDPs
Essential RL Algorithms
- Tabular approaches: Q-Learning and SARSA
- Policy-driven methods: The REINFORCE algorithm
- Actor-Critic frameworks and their specific applications
Deep Reinforcement Learning
- An introduction to Deep Q-Networks (DQN)
- Techniques for experience replay and target networks
- Policy gradients and advanced deep RL methodologies
RL Frameworks and Toolkits
- Getting acquainted with OpenAI Gym and other RL environments
- Utilizing PyTorch or TensorFlow for developing RL models
- Processes for training, testing, and benchmarking RL agents
Challenges in RL
- Striking a balance between exploration and exploitation during training
- Managing sparse rewards and credit assignment issues
- Overcoming scalability and computational hurdles in RL
Practical Exercises
- Building Q-Learning and SARSA algorithms from the ground up
- Training a DQN-based agent to play a simple game within OpenAI Gym
- Refining RL models to enhance performance in custom environments
Conclusion and Future Directions
Requirements
- A solid command of machine learning principles and core algorithms
- Advanced proficiency in Python programming
- Working familiarity with neural networks and deep learning frameworks
Target Audience
- Machine learning engineers
- AI specialists
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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