OpenAI Gym - an introduction to reinforcement learning
The training introduces participants to the fascinating world of learning with reinforcement through the practical use of the OpenAI Gym platform. The program combines theoretical foundations with intensive workshops where participants learn to design, implement and train their own models of learning with reinforcement. The classes are conducted in an interactive format, where each theoretical issue is immediately verified through practical implementations. The training methodology is based on a gradual building of understanding, from simple concepts to advanced techniques.
Issues
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Foundations of teaching with reinforcement
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OpenAI Gym environment
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Policy Gradient Algorithms
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Deep Q-Learning
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Designing environments
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Optimization of agents
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Learning strategies
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Debugging RL models
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Performance evaluation
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Implementation techniques
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Case studies
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Industry best practices
Benefits
- The participant will develop a fundamental understanding of the principles of reinforcement learning and its practical applications
- Designing and implementing reinforcement learning agents in the OpenAI Gym environment
- To effectively use various RL algorithms to solve specific problems
- After the training, he will be able to independently create and train his own reinforcement learning models
- Will gain the ability to evaluate and optimize the performance of RL agents
- Will be able to implement RL solutions in real projects
Who is this training for?
Prerequisites
- Basic knowledge of programming in Python
- Understand the basics of machine learning
- Knowledge of the basics of statistics and probability
- Basic knowledge of linear algebra
Training program
Theory and foundations of RL
- OpenAI Gym environment architecture
- Design of agents and environments
Basic RL algorithms
- Implementation of the first agents
- Creating simple environments
- Implementation of basic strategies
- Evaluation of results
Debugging agents
- Advanced RL techniques
- Policy Gradient Methods
Deep Q-Learning
- Optimization of hyperparameters
- Exploitation and exploration techniques
- Practical applications
Case study
- Optimization of agents
- Implementing solutions
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the OpenAI Gym - an introduction to reinforcement learning training for?
This training is designed for professionals looking to develop skills in openai gym - an introduction to reinforcement learning. Required level: beginner.
How long is the OpenAI Gym - an introduction to reinforcement learning training?
The training lasts 1. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
Funding Options
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Development Services Database
Up to 80% funding for SMEs from EU funds
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Up to 100% funding for employers
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