Certificate ID:
645607
Authentication Code:
ffecd
Certified Person Name:
Tamsin Fuller
Certified Person Email:
Trainer Name:
Gunnar Bless
Duration Days:
3
Duration Hours:
21
Course Name:
Fundamentals of Reinforcement Learning
Course Date:
18 August 2021 09:30 to 20 August 2021 16:30
Course Outline:
Introduction
- Learning through positive reinforcement
Elements of Reinforcement Learning
Important Terms (Actions, States, Rewards, Policy, Value, Q-Value, etc.)
Overview of Tabular Solutions Methods
Creating a Software Agent
Understanding Value-based, Policy-based, and Model-based Approaches
Working with the Markov Decision Process (MDP)
How Policies Define an Agent's Way of Behaving
Using Monte Carlo Methods
Temporal-Difference Learning
n-step Bootstrapping
Approximate Solution Methods
On-policy Prediction with Approximation
On-policy Control with Approximation
Off-policy Methods with Approximation
Understanding Eligibility Traces
Using Policy Gradient Methods
Summary and Conclusion
Certificate Sent:
Certificate Sent