Improving the speed of convergence of multi-agent Q-learning for cooperative task-planning by a robot-team

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Robotics Auton. Syst.

• Publication date

  2017-06-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1016/j.robot.2017.03.003
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• FMRQ—A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks

  2017cited by this paper
• A modified Imperialist Competitive Algorithm for multi-robot stick-carrying application

  2016influential reference
• The Q-learning obstacle avoidance algorithm based on EKF-SLAM for NAO autonomous walking under unknown environments

  2015cited by this paper
• Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer

  2015influential reference
• Multiagent Reinforcement Learning With Unshared Value Functions

  2015cited by this paper
• Developing a Machine Learning Approach to Controlling Musical Synthesizer Parameters in Real-Time Live Performance

  2014cited by this paper
• Heuristically-Accelerated Multiagent Reinforcement Learning

  2014cited by this paper
• The optimization of path planning for multi-robot system using Boltzmann Policy based Q-learning algorithm

  2013cited by this paper
• Realization of an Adaptive Memetic Algorithm Using Differential Evolution and Q-Learning: A Case Study in Multirobot Path Planning

  2013cited by this paper
• An Introduction to Reinforcement Learning

  2013influential reference
• Total Expected Discounted Reward MDPS: Existence of Optimal Policies

  2011cited by this paper
• Learning multirobot joint action plans from simultaneous task execution demonstrations

  2010influential reference
• Reinforcement Learning and Dynamic Programming Using Function Approximators

  2010cited by this paper
• Learning multi-agent state space representations

  2010cited by this paper
• Synergizing reinforcement learning and game theory - A new direction for control

  2010cited by this paper
• Multi-agent Reinforcement Learning: An Overview

  2010cited by this paper
• Agent Computing and Multi-Agent Systems

  2009cited by this paper
• Linear Complementarity Problem

  2009cited by this paper
• A Comprehensive Survey of Multiagent Reinforcement Learning

  2008cited by this paper
• A machine-learning approach to multi-robot coordination

  2008cited by this paper
• Q-learning based multi-robot box-pushing with minimal switching of actions

  2008cited by this paper
• Agent Computing and Multi-Agent Systems, 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Guilin, China, August 7-8, 2006, Proceedings

  2006cited by this paper
• Multi-robot learning with particle swarm optimization

  2006influential reference
• Particle swarm optimization for unsupervised robotic learning

  2005influential reference
• Representation and Computation With Decision - and Game - Theoretic Agents

  2005cited by this paper
• Technical Note: Q-Learning

  2004influential reference
• Sparse cooperative Q-learning

  2004cited by this paper
• Coordination in multiagent reinforcement learning: a Bayesian approach

  2003cited by this paper
• Correlated Q-Learning

  2003influential reference
• Nash Q-Learning for General-Sum Stochastic Games

  2003influential reference
• Asymmetric multiagent reinforcement learning

  2003cited by this paper
• Introduction to game theory

  2003cited by this paper
• A reinforcement learning with evolutionary state recruitment strategy for autonomous mobile robots control

  2003cited by this paper
• Non-Cooperative Games

  2003influential reference
• Multi-Agent Reinforcement Learning:a critical survey

  2003cited by this paper
• Multi Agent Reinforcement Learning Independent vs Cooperative Agents

  2003cited by this paper
• A multiagent reinforcement learning algorithm using extended optimal response

  2002cited by this paper
• Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games

  2002cited by this paper
• Reinforcement learning of coordination in cooperative multi-agent systems

  2002influential reference
• Scaling Reinforcement Learning toward RoboCup Soccer

  2001cited by this paper
• Value-function reinforcement learning in Markov games

  2001influential reference
• Multi-agent Markov decision processes with limited agent communication

  2001cited by this paper
• Friend-or-Foe Q-learning in General-Sum Games

  2001cited by this paper
• Rational and Convergent Learning in Stochastic Games

  2001cited by this paper
• Fast Concurrent Reinforcement Learners

  2001cited by this paper
• Convergence Problems of General-Sum Multiagent Reinforcement Learning

  2000cited by this paper
• An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems

  2000cited by this paper
• Sequential Optimality and Coordination in Multiagent Systems

  1999cited by this paper
• The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems

  1998influential reference
• Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm

  1998influential reference
• Perturbation realization, potentials, and sensitivity analysis of Markov processes

  1997cited by this paper
• Value iteration and policy iteration algorithms for Markov decision problem

  1996cited by this paper
• A Generalized Reinforcement-Learning Model: Convergence and Applications

  1996cited by this paper
• Planning, Learning and Coordination in Multiagent Decision Processes

  1996influential reference
• Reinforcement Learning: A Survey

  1996influential reference
• Artificial intelligence - theory and practice

  1995cited by this paper
• Learning to Coordinate without Sharing Information

  1994cited by this paper
• Markov Games as a Framework for Multi-Agent Reinforcement Learning

  1994cited by this paper
• Dynamic Programming

  1993cited by this paper
• Q-learning

  1992cited by this paper

• Human Machine Co-Adaptation Model and Its Convergence Analysis

  2025cites this paper
• M-Learning: Heuristic Approach for Delayed Rewards in Reinforcement Learning

  2025cites this paper
• Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms

  2025cites this paper
• Drone Swarm Coordination Using Reinforcement Learning for Efficient Wildfires Fighting

  2024cites this paper
• RevAP: A bankruptcy-based algorithm to solve the multi-agent credit assignment problem in task start threshold-based multi-agent systems

  2024cites this paper
• Increasing Convergence Rate in Decentralized Q-Learning for Traffic Networks

  2024cites this paper
• Correlated Equilibrium based Online Real-time Distributed Dynamic Task Scheduler for Multi-agent Systems

  2024cites this paper
• Q-learning-based metaheuristic algorithm for thermoeconomic optimization of a shell-and-tube evaporator working with refrigerant mixtures

  2023cites this paper
• Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators

  2023cites this paper
• Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey

  2023cites this paper
• Self-improving Q-learning based controller for a class of dynamical processes

  2023cites this paper
• Coupling Effect of Exploration Rate and Learning Rate for Optimized Scaled Reinforcement Learning

  2023cites this paper
• A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites

  2022cites this paper
• Multi-Agent Reinforcement Learning with Optimal Equivalent Action of Neighborhood

  2022cites this paper
• Optimal spraying task assignment problem in crop protection with multi-UAV systems and its order irrelevant enumeration solution

  2022cites this paper
• A consecutive hybrid spiking-convolutional (CHSC) neural controller for sequential decision making in robots

  2021cites this paper
• Q-Learning-Based Target Selection for Bearings-Only Autonomous Navigation

  2021cites this paper
• Prevention of Covid-19 affected patient using multi robot cooperation and Q-learning approach: a solution

  2021cites this paper
• A Path Planning Method for Multi-robot Formation Based on Improved Q-Learning

  2021cites this paper
• Development of Conceptual Framework for Reinforcement Learning Based Optimal Control

  2021cites this paper
• An Efficient Computing of Correlated Equilibrium for Cooperative Q‐Learning‐Based Multi‐Robot Planning

  2020cites this paper
• An Efficient Computing of Correlated Equilibrium for Cooperative $Q$ -Learning-Based Multi-Robot Planning

  2020cites this paper
• Improve Convergence Speed of Multi‐Agent Q‐Learning for Cooperative Task Planning

  2020cites this paper
• Spiking Neural Controller for Autonomous Robot Navigation in Dynamic Environments

  2020cites this paper
• Reinforcement Q-Learning Control With Reward Shaping Function for Swing Phase Control in a Semi-active Prosthetic Knee

  2020cites this paper
• Adaptive FTC Consensus Control for Nonlinear Multi-agent Systems Based on Neural Networks

  2019cites this paper
• Relationship between Nash Equilibria and Pareto Optimal Solutions for Games of Pure Coordination

  2019cites this paper
• Cooperative Game-based Multi-Agent Path Planning with Obstacle Avoidance*

  2019cites this paper
• Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage

  2018influential citation
• Design Distributed Control and Learning Algorithms for a Team of UAVs for Optimal Field Coverage

  2018influential citation
• Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning

  2018cites this paper
• Cooperative path planning of robot swarm based on ACO

  2017cites this paper