Feb 7, 2018 · Abstract:We propose a novel framework for Deep Reinforcement Learning (DRL) in modular robotics using traditional robotic tools that extend ...
Feb 7, 2018 · We propose a novel framework for Deep Reinforcement Learning (DRL) in mod- ular robotics using traditional robotic tools that extend ...
Feb 7, 2018 · The results show that extending the modular robot from 3 degrees-of-freedom (DoF), to 4 DoF, does not affect the robot's learning, ...
Our approach uses reinforcement learning to estimate the optimal ... However, the genetic algorithm requires many complete robot planning evaluations.
Bibliographic details on Evaluation of Deep Reinforcement Learning Methods for Modular Robots.
We conducted a robot navigation task to evaluate our proposed method. We ... robots: safe reinforcement learning using the MaxPain algorithm. In Proc ...
In the field of robotics, it is a challenge to deal with multi-stage tasks based on Deep reinforcement learning (Deep RL). Previous researches have shown ...
This review paper discusses path-planning methods that use neural networks, including deep reinforcement learning, and its different types, such as model-free ...
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A Survey on Deep Reinforcement Learning Algorithms for Robotic ...
www.ncbi.nlm.nih.gov › PMC10098871
Apr 5, 2023 · We give an overview of the recent advances in deep reinforcement learning algorithms for robotic manipulation tasks in this review. We begin ...
Aug 3, 2023 · This study aimed to evaluate the effectiveness of RL training methodologies on a modular, legged locomotion task from the OpenAI Gym MuJoCo ...