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Efficient Deep Reinforcement Learning for Optimal Path Planning

https://doi.org/10.3390/electronics11213628

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Shortest distance paths for wheeled mobile robots

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Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning

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Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment

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The mobile robot path planning with motion constraints based on Bug algorithm

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Motion planning of autonomous mobile robot based on ELANFIS

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Research on Q-ELM algorithm in robot path planning

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Socially Aware Robot Navigation Using Deep Reinforcement Learning

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Going deeper with convolutions

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Path Planning Method Based on Multi-Layer ELM Optimized A*

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Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning

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Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

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Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance

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Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning With Sequential Model

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Local Receptive Fields Based Extreme Learning Machine

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Dynamic path planning for a mobile automaton with limited information on the environment

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MOD-RRT*: A Sampling-Based Algorithm for Robot Path Planning in Dynamic Environment

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Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles

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Minimizing Energy Consumption of Wheeled Mobile Robots via Optimal Motion Planning

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Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes

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Representation Learning: A Review and New Perspectives

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An efficient dynamic system for real-time robot-path planning

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Real-Time Robot Path Planning via a Distance-Propagating Dynamic System with Obstacle Clearance

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Extreme Learning Machine for Regression and Multiclass Classification

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A Formal Basis for the Heuristic Determination of Minimum Cost Paths

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Autonomous Navigation of UAVs in Large-Scale Complex Environments: A Deep Reinforcement Learning Approach

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Optimal Time-Consuming Path Planning for Autonomous Underwater Vehicles Based on a Dynamic Neural Network Model in Ocean Current Environments

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Autonomous Pilot of Unmanned Surface Vehicles: Bridging Path Planning and Tracking

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Backpropagation Applied to Handwritten Zip Code Recognition

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Real-Time Obstacle Avoidance for Manipulators and Mobile Robots

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Using Path Transforms to Guide the Search for Findpath in 2D

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Path Planning Method Based on Deep Reinforcement Learning with Improved Prioritized Experience Replay for Human-Robot Collaboration

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Towards a unified taxonomy for algorithmic transparency: insights from uncrewed air traffic management

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123539openalex-snapshot

Expected-mean gamma-incremental reinforcement learning algorithm for robot path planning

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102250openalex-snapshot

MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114255openalex-snapshot

Graph-reinforcement-learning-based distributed path planning for collaborative multi-AGV systems

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Linear Programming of the Loopwise Route Representation for the Shortest Path Problems by Introducing the Reference Link Flow

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A Reliable V2V Communication: An Autonomous Perspective

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Balancing Reward and Safety: An Analysis of Reinforcement Learning Agents

inferred← citeshttps://doi.org/10.1109/jsen.2024.3425530openalex-snapshot

An End-to-End Path Planner Combining Potential Field Method With Deep Reinforcement Learning

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A Review of Mobile Robot Path-planning Research

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Research on adaptive artificial potential field obstacle avoidance technology for unmanned aerial vehicles in complex environments

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Task Scheduling for Mobile Edge Computing Leveraging Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.3390/a18030146openalex-snapshot

Dynamic Path Planning for Vehicles Based on Causal State-Masking Deep Reinforcement Learning

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A Stealth–Distance Dynamic Weight Deep Q-Network Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Helicopter

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A Comprehensive Review of Deep Learning Techniques in Mobile Robot Path Planning: Categorization and Analysis

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Just-in-Time Optimal Routing in the Presence of Non-Uniform and Time-Evolving Uncertainty

inferred← citeshttps://doi.org/10.3390/electronics12051149openalex-snapshot

Autonomous Vehicles Technological Trends

inferred← citeshttps://doi.org/10.3390/electronics12183840openalex-snapshot

Deep Reinforcement Learning-Based 2.5D Multi-Objective Path Planning for Ground Vehicles: Considering Distance and Energy Consumption

inferred← citeshttps://doi.org/10.3390/jmse11030610openalex-snapshot

Development of a Cascade Intelligent System for Path Planning of the Group of Marine Robotic Complexes

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Research on Imitation–Reinforcement Hybrid Machine Learning Algorithms: Application in Path Planning

inferred← citeshttps://doi.org/10.3390/s25041206openalex-snapshot

Path Planning Trends for Autonomous Mobile Robot Navigation: A Review

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Geometrical Optimal Navigation and Path Planning—Bridging Theory, Algorithms, and Applications

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