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Course Outline
Introduction to Reinforcement Learning
- Overview of reinforcement learning and its applications
- Differences between supervised, unsupervised, and reinforcement learning
- Key concepts: agent, environment, rewards, and policy
Markov Decision Processes (MDPs)
- Understanding states, actions, rewards, and state transitions
- Value functions and the Bellman Equation
- Dynamic programming for solving MDPs
Core RL Algorithms
- Tabular methods: Q-Learning and SARSA
- Policy-based methods: REINFORCE algorithm
- Actor-Critic frameworks and their applications
Deep Reinforcement Learning
- Introduction to Deep Q-Networks (DQN)
- Experience replay and target networks
- Policy gradients and advanced deep RL methods
RL Frameworks and Tools
- Introduction to OpenAI Gym and other RL environments
- Using PyTorch or TensorFlow for RL model development
- Training, testing, and benchmarking RL agents
Challenges in RL
- Balancing exploration and exploitation in training
- Dealing with sparse rewards and credit assignment problems
- Scalability and computational challenges in RL
Hands-On Activities
- Implementing Q-Learning and SARSA algorithms from scratch
- Training a DQN-based agent to play a simple game in OpenAI Gym
- Fine-tuning RL models for improved performance in custom environments
Summary and Next Steps
Requirements
- Strong understanding of machine learning principles and algorithms
- Proficiency in Python programming
- Familiarity with neural networks and deep learning frameworks
Audience
- Machine learning engineers
- AI specialists
14 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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