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Restarting

1 minute read

Yes, I have resumed the TFM. Since so much time has passed, I have been forced to review all the technology I was using. Taking advantage of the situation, I...

Week 8-9. Q learning - fixes

less than 1 minute read

Since the last post I have focused more on solving some bugs and preparing the execution environment of the algorithm in cloud.

Week 6-7. Q learning - new hardware

less than 1 minute read

For this week we are still trying to find maximum speeds with the car running the software on my local computer. But this week I managed to get access to the...

Week 6-7. Q learning - completed

1 minute read

The problem has been solved with the Q Learning algorithm parameterized with discrete action space of size 16 (4 bins for linear velocity and 4 for angular v...

Week 6-7. Q learning - changes

1 minute read

I am still working on how to improve the handling when the problem is multivariable (linear and angular velocity) by applying the Q Learning algorithm. The c...

Week 5-6. Simple Q learning - completed

less than 1 minute read

For today I wanted to show a video with a small demonstration of how the implemented algorithm has managed to solve the problem. It should be noted that the ...

Week 5-6. Simple Q learning - updated

less than 1 minute read

In the last post I published an implementation of the simplified Q learning algorithm for this problem in which I discretised both the space of observations ...

Week 5-6. Simple Q learning

less than 1 minute read

As a first approach to the problem at hand, I proceed to build a new environment from the original MontmeloLine environment. In this new environment the acti...

Week 5-6. Building Gym Gazebo environments

less than 1 minute read

In the week, a Formula 1 training environment based on Gazebo and ROS Noetic has been introduced. These environments allow agent training based on reinforcem...

Week 0. Start the trip!

less than 1 minute read

I started reading some books adbout Machine Learning. I prefer to focus on books about reinforcement learning and deep reinforcement learnig because I think ...

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update

Restarting

1 minute read

Yes, I have resumed the TFM. Since so much time has passed, I have been forced to review all the technology I was using. Taking advantage of the situation, I...

Week 8-9. Q learning - fixes

less than 1 minute read

Since the last post I have focused more on solving some bugs and preparing the execution environment of the algorithm in cloud.

Week 6-7. Q learning - new hardware

less than 1 minute read

For this week we are still trying to find maximum speeds with the car running the software on my local computer. But this week I managed to get access to the...

Week 6-7. Q learning - completed

1 minute read

The problem has been solved with the Q Learning algorithm parameterized with discrete action space of size 16 (4 bins for linear velocity and 4 for angular v...

Week 6-7. Q learning - changes

1 minute read

I am still working on how to improve the handling when the problem is multivariable (linear and angular velocity) by applying the Q Learning algorithm. The c...

Week 5-6. Simple Q learning - completed

less than 1 minute read

For today I wanted to show a video with a small demonstration of how the implemented algorithm has managed to solve the problem. It should be noted that the ...

Week 5-6. Simple Q learning - updated

less than 1 minute read

In the last post I published an implementation of the simplified Q learning algorithm for this problem in which I discretised both the space of observations ...

Week 5-6. Simple Q learning

less than 1 minute read

As a first approach to the problem at hand, I proceed to build a new environment from the original MontmeloLine environment. In this new environment the acti...

Week 5-6. Building Gym Gazebo environments

less than 1 minute read

In the week, a Formula 1 training environment based on Gazebo and ROS Noetic has been introduced. These environments allow agent training based on reinforcem...

Week 0. Start the trip!

less than 1 minute read

I started reading some books adbout Machine Learning. I prefer to focus on books about reinforcement learning and deep reinforcement learnig because I think ...

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