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Stable training via elastic adaptive deep reinforcement learning for autonomous navigation of intelligent vehicles
The uncertain stability of deep reinforcement learning training on complex tasks impedes its development and deployment, especially in intelligent...
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Smart scheduling of hanging workshop via digital twin and deep reinforcement learning
The complexity of job-shop environments poses significant challenges for effective scheduling in the manufacturing industry. Flexible job-shop...
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Model-based deep reinforcement learning for accelerated learning from flow simulations
In recent years, deep reinforcement learning has emerged as a technique to solve closed-loop flow control problems. Employing simulation-based...
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Anti-jamming transmission in softwarization UAV network: a federated deep reinforcement learning approach
This paper presents the concept and studies of federated deep reinforcement learning (DRL) based anti-jamming communication in softwarization UAV...
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Deep reinforcement learning based computation offloading for xURLLC services with UAV-assisted IoT-based multi-access edge computing system
New Internet of Things (IoT) based applications with stricter key performance indicators (KPI) such as round-trip delay, network availability, energy...
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Intelligent reflecting surface aided covert wireless communication exploiting deep reinforcement learning
Wireless communication system are facing more and more security threats, and protecting user privacy becomes important. The goal of covert...
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Blocklength Allocation and Power Control in UAV-Assisted URLLC System via Multi-agent Deep Reinforcement Learning
Integration of unmanned aerial vehicles (UAVs) with ultra-reliable and low-latency communication (URLLC) systems can improve the real-time...
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A Procedural Constructive Learning Mechanism with Deep Reinforcement Learning for Cognitive Agents
Recent advancements in AI and deep learning have created a growing demand for artificial agents capable of performing tasks within increasingly...
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Dynamic warning zone and a short-distance goal for autonomous robot navigation using deep reinforcement learning
Robot navigation in crowded environments has recently benefited from advances in deep reinforcement learning (DRL) approaches. However, it still...
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Robot autonomous gras** and assembly skill learning based on deep reinforcement learning
This paper proposes a deep reinforcement learning-based framework for robot autonomous gras** and assembly skill learning. Meanwhile, a deep...
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A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning
This article is about deep learning (DL) and deep reinforcement learning (DRL) works applied to robotics. Both tools have been shown to be successful...
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Binary bat algorithm based feature selection with deep reinforcement learning technique for intrusion detection system
The new generation of Intrusion Detection Systems (IDS) progressively requires automatic and intellectual network ID strategies for managing security...
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An Efficiently Convergent Deep Reinforcement Learning-Based Trajectory Planning Method for Manipulators in Dynamic Environments
Recently, deep reinforcement learning (DRL)-based trajectory planning methods have been designed for manipulator trajectory planning, given their...
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A deep reinforcement learning control approach for high-performance aircraft
This research introduces a flight controller for a high-performance aircraft, able to follow randomly generated sequences of waypoints, at varying...
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Missile thermal emission flow field under the synergistic effect of deep reinforcement learning and wireless sensor network
The vehicle-mounted missile vertical thermal emission not only has excellent maneuverability, randomness, and concealment, but also has a short...
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Optimization of job shop scheduling problem based on deep reinforcement learning
Aiming at the optimization problem of minimizing the maximum completion time in job shop scheduling, a deep reinforcement learning optimization...
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Enhancing Navigational Performance with Holistic Deep-Reinforcement-Learning
Deep Reinforcement Learning (DRL) has gained increasing popularity in the robotics community for tasks such as gras**, manipulation, and decision...
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Deep Reinforcement Learning for Humanoid Robot Behaviors
RoboCup 3D Soccer Simulation is a robot soccer competition based on a high-fidelity simulator with autonomous humanoid agents, making it an...
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Multi-Robot Task Allocation Using Multimodal Multi-Objective Evolutionary Algorithm Based on Deep Reinforcement Learning
The overall performance of multi-robot collaborative systems is significantly affected by the multi-robot task allocation. To improve the...
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Compensated Motion and Position Estimation of a Cable-driven Parallel Robot Based on Deep Reinforcement Learning
Unlike conventional rigid-link parallel robots, cable-driven parallel robots (CDPRs) have distinct advantages, including lower inertia, higher...