Search Results for author: Javier Ruiz-del-Solar

Found 9 papers, 3 papers with code

Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition

1 code implementation9 Mar 2021 Pavan Samtani, Francisco Leiva, Javier Ruiz-del-Solar

In addition, we propose using experience sharing, a method that shares experience from a fixed opponent, trained in a previous stage, for training the agent currently learning, and a form of frame-skipping, to raise performance significantly.

Curriculum Learning

Playing Soccer without Colors in the SPL: A Convolutional Neural Network Approach

no code implementations29 Nov 2018 Francisco Leiva, Nicolás Cruz, Ignacio Bugueño, Javier Ruiz-del-Solar

The goal of this paper is to propose a vision system for humanoid robotic soccer that does not use any color information.

Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks

1 code implementation30 Sep 2018 Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober

Deep Reinforcement Learning (DRL) has become a powerful strategy to solve complex decision making problems based on Deep Neural Networks (DNNs).

Car Racing Decision Making

A Survey on Deep Learning Methods for Robot Vision

1 code implementation28 Mar 2018 Javier Ruiz-del-Solar, Patricio Loncomilla, Naiomi Soto

Given that deep learning has already attracted the attention of the robot vision community, the main purpose of this survey is to address the use of deep learning in robot vision.

Toward Real-Time Decentralized Reinforcement Learning using Finite Support Basis Functions

no code implementations20 Jun 2017 Kenzo Lobos-Tsunekawa, David L. Leottau, Javier Ruiz-del-Solar

This paper addresses the design and implementation of complex Reinforcement Learning (RL) behaviors where multi-dimensional action spaces are involved, as well as the need to execute the behaviors in real-time using robotic platforms with limited computational resources and training times.

Using Convolutional Neural Networks in Robots with Limited Computational Resources: Detecting NAO Robots while Playing Soccer

no code implementations20 Jun 2017 Nicolás Cruz, Kenzo Lobos-Tsunekawa, Javier Ruiz-del-Solar

The main goal of this paper is to analyze the general problem of using Convolutional Neural Networks (CNNs) in robots with limited computational capabilities, and to propose general design guidelines for their use.

Recognition of Grasp Points for Clothes Manipulation under unconstrained Conditions

no code implementations20 Jun 2017 Luz María Martínez, Javier Ruiz-del-Solar

Then, the proposed system applies the Vessel Enhancement filter to identify wrinkles in the clothes, allowing to compute a roughness index for the clothes.

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