Robotics using Deep Reinforcement Learning Training
Robotics using Deep Reinforcement Learning Course:
Reinforcement learning (RL) is an area of machine learning concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward. Robotics is an area with heavy application of reinforcement learning. Gaming is another area of heavy application. This course is a complete hand-on touching everything from machine learning, deep learning, computer vision etc.
Robotics using Deep Reinforcement Learning Course Curriculum
Basics of Robotics
Kinematics and Control System Theory
Setup and Installation of ROS, Gazibo and Unity
Creating Shapes and Game Environment in Unity
Understanding Rigid Body
Basics of C# for Unity
Assignment :Creating simple Point collector Game in Unity
Different levels in Path Planning
Understanding ROS Framework
Fundamentals of Machine Learning (Pipeline)
Gradient Descent
Assignment 5: Training IRIS dataset for classification
Convolutional Layers vs Fully Connected Layers
Activation, Loss, Dropout
Optimizers
Train Fashion MNIST dataset
Introduction to Unity ML
Understanding Agent and Environment
Building a simple Markov Chain for Cupcakes
Implementation of MRP in GridWorld
Policy Evaluation vs Policy Control
Value Iteration and Policy Iteration
Model Free Prediction
Model Free Control with REINFORCE and SARSA Learning
Off policy vs On Policy Learning
Q Learning
Understanding Deep Learning as Function Approximator
Revisiting Point Collector Example in Unity and
Assignment : training it via Behavioral Cloning
Assignment : Training Cartpole Example via Deep Q Learning
Introduction to Policy Gradient Functions
Assignment :Training Ping Pong Game via Policy Gradient
Assignment :Using OpenAI baselines to train Unity Game
Two Player Board Games
MinMax Trees,
Assignment :Implementing Monte Carlo Tree for 9x9 TicTacToe
Trust Region Policy Optimization and Proximal Policy Optimization
Actor Critic using Kronecker Factored Trust Region
Deep Deterministic Policy Gradients (DDPG)
Assignment :Using DDPG to train Robotic Arm in OpenAI Gy
Frequently Asked Questions
This "Robotics using Deep Reinforcement Learning" course is an instructor-led training (ILT). The trainer travels to your office location and delivers the training within your office premises. If you need training space for the training we can provide a fully-equipped lab with all the required facilities. The online instructor-led training is also available if required. Online training is live and the instructor's screen will be visible and voice will be audible. Participants screen will also be visible and participants can ask queries during the live session.
Participants will be provided "Robotics using Deep Reinforcement Learning"-specific study material. Participants will have lifetime access to all the code and resources needed for this "Robotics using Deep Reinforcement Learning". Our public GitHub repository and the study material will also be shared with the participants.
All the courses from zekeLabs are hands-on courses. The code/document used in the class will be provided to the participants. Cloud-lab and Virtual Machines are provided to every participant during the "Robotics using Deep Reinforcement Learning" training.
The "Robotics using Deep Reinforcement Learning" training varies several factors. Including the prior knowledge of the team on the subject, the objective of the team learning from the program, customization in the course is needed among others. Contact us to know more about "Robotics using Deep Reinforcement Learning" course duration.
The "Robotics using Deep Reinforcement Learning" training is organised at the client's premises. We have delivered and continue to deliver "Robotics using Deep Reinforcement Learning" training in India, USA, Singapore, Hong Kong, and Indonesia. We also have state-of-art training facilities based on client requirement.
Our Subject matter experts (SMEs) have more than ten years of industry experience. This ensures that the learning program is a 360-degree holistic knowledge and learning experience. The course program has been designed in close collaboration with the experts working in esteemed organizations such as Google, Microsoft, Amazon, and similar others.
Yes, absolutely. For every training, we conduct a technical call with our Subject Matter Expert (SME) and the technical lead of the team that undergoes training. The course is tailored based on the current expertise of the participants, objectives of the team undergoing the training program and short term and long term objectives of the organisation.
Drop a mail to us at [email protected] or call us at +91 8041690175 and we will get back to you at the earliest for your queries on "Robotics using Deep Reinforcement Learning" course.
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