Results 21 to 30 of about 323,609 (233)

An Inverse Kinematics Solution for a Series-Parallel Hybrid Banana-Harvesting Robot Based on Deep Reinforcement Learning

Agronomy, 2022
A series-parallel hybrid banana-harvesting robot was previously developed to pick bananas, with inverse kinematics intractable to an address. This paper investigates a deep reinforcement learning-based inverse kinematics solution to guide the banana ...
Guichao Lin, Peichen Huang, Minglong Wang, Yao Xu, Rihong Zhang, Lixue Zhu   +5 more
doaj   +1 more source

Routing algorithms as tools for integrating social distancing with emergency evacuation

Scientific Reports, 2021
One of the lessons from the COVID-19 pandemic is the importance of social distancing, even in challenging circumstances such as pre-hurricane evacuation. To explore the implications of integrating social distancing with evacuation operations, we describe
Yi-Lin Tsai, Chetanya Rastogi, Peter K. Kitanidis, Christopher B. Field   +3 more
doaj   +1 more source

Body Language Analysis Based on Deep Reinforcement Learning [PDF]

ITM Web of Conferences
Deep learning has become one of the core technologies in current artificial intelligence research and application and has triggered revolutionary breakthroughs in many fields, demonstrating powerful learning ability and creativity.
Lu Boyang
doaj   +1 more source

A Method to Plan the Path of a Robot Utilizing Deep Reinforcement Learning and Multi-Sensory Information Fusion

Applied Artificial Intelligence, 2023
Nowadays, mobile robots are being widely employed in various settings, including factories, homes, and everyday tasks. Achieving successful implementation of autonomous robot movement largely depends on effective route planning.
Jieren Tan
doaj   +1 more source

Deep Ordinal Reinforcement Learning

, 2019
Reinforcement learning usually makes use of numerical rewards, which have nice properties but also come with drawbacks and difficulties. Using rewards on an ordinal scale (ordinal rewards) is an alternative to numerical rewards that has received more ...
C Wirth, CJ Watkins, RS Sutton, V Mnih
core   +1 more source

Improvement of Deep Reinforcement Learning Using Curriculum in Game Environment

مجله پژوهش در علوم توانبخشی, 2020
Introduction: Training deep curriculum learning is a kind of smart agent training in which, first the simple acts, and then, the difficult acts are trained to smart agent.
Mohammadreza Mohammadnejad, Morteza Dorrigiv, Farzin Yaghmaee   +2 more
doaj   +1 more source

Crop Yield Prediction Using Deep Reinforcement Learning Model for Sustainable Agrarian Applications

IEEE Access, 2020
Predicting crop yield based on the environmental, soil, water and crop parameters has been a potential research topic. Deep-learning-based models are broadly used to extract significant crop features for prediction. Though these methods could resolve the
Dhivya Elavarasan, P. M. Durairaj Vincent   +1 more
doaj   +1 more source

Deep Reinforcement Learning that Matters

, 2018
In recent years, significant progress has been made in solving challenging problems across various domains using deep reinforcement learning (RL). Reproducing existing work and accurately judging the improvements offered by novel methods is vital to ...
Bachman, Philip, Henderson, Peter, Islam, Riashat, Meger, David, Pineau, Joelle, Precup, Doina   +5 more
core   +1 more source

Deep Reinforcement Factorization Machines: A Deep Reinforcement Learning Model with Random Exploration Strategy and High Deployment Efficiency

Applied Sciences, 2022
In recent years, the recommendation system and robot learning are undoubtedly the two most popular application fields, and the core algorithms supporting these two fields are deep learning based on perception and reinforcement learning based on ...
Huaidong Yu, Jian Yin
doaj   +1 more source

A Survey and Critique of Multiagent Deep Reinforcement Learning

, 2019
Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has led to a dramatic increase in the number of applications and methods.
Hernandez-Leal, Pablo, Kartal, Bilal, Taylor, Matthew E.   +2 more
core   +1 more source