Stack Exchange Network

Stack Exchange network consists of 174 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [reinforcement-learning]

Reinforcement learning is a technique wherein an agent improves its performance via interaction with its environment. For this reason it is a commonly used machine learning technique in robotics.

0
votes
0answers
22 views

How to use the sensor data(Dead reckoning, odometer) to keep track of multiple robots and their movements?

Objective: The goal is to present to the management the real time tracking of the cars and the loader activities; and to eventually aid the communication of their performance for better management of ...
0
votes
1answer
221 views

Mujoco and MoveIt!

I want to implement deep reinforcement learning using a UR5 robot. A little research told me nowadays researchers are using openAI gym, Mujoco, rllab as their frameworks. The thing is, I want to train ...
0
votes
2answers
75 views

What are myopic and non-myopic policies?

I am reading this paper: A survey on Policy Search for Robotics and I came across these terms. Can someone give an answer, please?
0
votes
1answer
29 views

Add failsafe to reinforcement learning algorithm

I'm working on a hexapod that uses A3C to learn how to walk. Ideally I would test it all in a simulator for some structure to the weights/policy but I don't have enough time for that. Obviously there ...
4
votes
1answer
296 views

Tuning Line follower PID constants with Q-learning

I am currently working on a line follower buggy and have managed to tune the PID constants​ manually. The buggy follows the line at a moderate speed. I will now like to take things further and learn ...
3
votes
3answers
1k views

PID tuning with (Deep) Reinforcement Learning

I am trying to implement a RL algorithm for an adaptive PID in a robot system. My doubt consists in the creation of the possible states in the problem. I mean, I understand quite well the problem ...
3
votes
1answer
328 views

Ornstein Uhlenbeck vs Epsilon Greedy [closed]

There are many methods of exploring in a Reinforcement Learning setting but two of the most used ones are Ornstein Uhlenbeck (OU) processes and epsilon-greedy approaches. Could anyone elucidate the ...
5
votes
1answer
56 views

Has hierarchical learning been embodied in a robot before?

I've been reading about hierarchical reinforcement learning (HRL) and it's applications. A well-written literature review on the subject can be found here. However, I was wondering if research has ...
3
votes
2answers
234 views

Building robots with high reliability, durability, and battery life

I'm involved in research on psychologically plausible models of reinforcement learning, and as such I thought it'd be nice to try and see how well some to the models out there perform in the real ...
6
votes
2answers
337 views

Measuring speed of movement in Webots

I have been experimenting with different fitness functions for my Webots robot simulation (in short: I'm using genetic algorithm to evolve interesting behaviour). The idea I have now is to reward/...
8
votes
2answers
325 views

How do I model a robot?

The answers I received to the question on training a line following robot using reinforcement learning techniques, got me to think on how to train a robot. I believe there are essentially two ways - ...
6
votes
2answers
841 views

Are inverse kinematics and reinforcement learning competitive techniques?

Are inverse kinematics and reinforcement learning techniques contending techniques to solve the same problem viz. movement of robotic manipulators or arm? By a glance through the wikipedia article, ...
15
votes
2answers
3k views

Programming a line following robot with reinforcement learning

I am considering programming a line following robot using reinforcement learning algorithms. The question I am pondering over is how can I get the algorithm to learn navigating through any arbitrary ...