Hierarchical reinforcement learning for kinematic control tasks with parameterized action spaces

Tactical UAV path optimization under radar threat using deep reinforcement learning

(2022) M. Nedim Alpdemir   NEURAL COMPUTING & APPLICATIONS

Memory-enhanced deep reinforcement learning for UAV navigation in 3D environment

(2022) Chenchen Fu et al.   NEURAL COMPUTING & APPLICATIONS

Focus on Impact: Indoor Exploration With Intrinsic Motivation

(2022) Roberto Bigazzi et al.   IEEE Robotics and Automation Letters

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks With Path Planning

(2021) Sammy Christen et al.   IEEE Robotics and Automation Letters

Control of an AUV with completely unknown dynamics and multi-asymmetric input constraints via off-policy reinforcement learning

(2021) Mehdi Mohammadi et al.   NEURAL COMPUTING & APPLICATIONS

Continuous reinforcement learning based ramp jump control for single-track two-wheeled robots

(2021) Qingyuan Zheng et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Using Learning to Control Artificial Avatars in Human Motor Coordination Tasks

(2021) Maria Lombardi et al.   IEEE Transactions on Robotics

Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification

(2021) Chenghao Liu et al.   IEEE-CAA Journal of Automatica Sinica

Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation

(2021) Xintong Yang et al.   IEEE Transactions on Neural Networks and Learning Systems

End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery

(2021) Shubham Pateria et al.   IEEE Transactions on Neural Networks and Learning Systems

Fast and slow curiosity for high-level exploration in reinforcement learning

(2020) Nicolas Bougie et al.   APPLIED INTELLIGENCE

Towards Generalization in Target-Driven Visual Navigation by Using Deep Reinforcement Learning

(2020) Alessandro Devo et al.   IEEE Transactions on Robotics

Reinforcement Learning With Task Decomposition for Cooperative Multiagent Systems

(2020) Changyin Sun et al.   IEEE Transactions on Neural Networks and Learning Systems

An Efficient Model-Free Approach for Controlling Large-Scale Canals via Hierarchical Reinforcement Learning

(2020) Tao Ren et al.   IEEE Transactions on Industrial Informatics

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

(2019) Nat Dilokthanakul et al.   IEEE Transactions on Neural Networks and Learning Systems

Hierarchical Deep Reinforcement Learning for Continuous Action Control

(2018) Zhaoyang Yang et al.   IEEE Transactions on Neural Networks and Learning Systems