Reinforcement Learning

Q learning algorithm is one of the most popular reinforcement learning algorithms, but the algorithm exist some problems.

Now reinforcement learning is widely used in agent system, among which Q-learning algorithm is widely used reinforcement learning algorithm.

Reinforcement Learning (RL) is a powerful machine learning methodology and has proven effective in a variety of domains.

Without reinforcement learning is only short term and easily lost.

In this paper, we develop a kernel based reinforcement learning algorithm, which solve the problems with continuous state spaces directly.

Hierarchical reinforcement learning(HRL) was presented to combat the curse of dimensionality, and has made great progresses.

This sample graph is from a simple reinforcement learning application that uses Q learning.

Absrtact: The reinforcement learning has been proved to be a new applicable method in control field.

A dynamic and real-time system integrating reinforcement learning with simulation is designed for job-shop scheduling.

The BP neural network is adopted to realize the reinforcement learning to strengthen the generalization ability.

n section 3 the particular reinforcement learning algorithm used in this architecture is described.

Contemporary theories of reinforcement learning are rooted in the dopaminergic reward system.

This paper applies MAXQ, a multi-agent hierarchical reinforcement learning method, to the learning of attacking strategy of soccer robot.

But reinforcement learning is bedeviled by the curse of dimensionality.

MAXQ, a hierarchical reinforcement learning method for multi-agent system, is proposed in recent years.

A network spider algorithm based on the reinforcement learning is proposed and deployed to discovery the web site of dinning.

Reinforcement learning is a kind of artificial intelligence in the strategic study, based on the principle of best interests is expected.

In this paper a neural network based on reinforcement learning is presented that learns to play five-in-a-row.

Design and Convergence Analysis of a Heuristic Reward Function for Reinforcement Learning Algorithms

Research on Reinforcement Learning with Continuous Actions and its Application to Intelligent Robot

Average Reward Reinforcement Learning Theory Algorithms and Its Application

Reinforcement Learning Control of an Electrohydraulic Position Servo System

A Collaborative Active Routing Information Exchange Mechanism Based Reinforcement Learning

Reinforcement learning algorithm for partially observable Markov decision processes

Risk-Sensitive Reinforcement Learning Algorithms With Generalized Average Criterion

Hierarchical reinforcement learning with an automatically generated hierarchy based on immune clustering

Parallel automatic hierarchy in hierarchical reinforcement learning

Average Reward Reinforcement Learning Scheduling of Closed Reentrant Production Systems

Evolutionary Algorithm Based Reinforcement Learning in the Uncertain Environments

Hierarchical Fuzzy Neural-Networks Based Reinforcement Learning in Multi-Variable Environment

A Reinforcement Learning Algorithm for Partially Observable Markov Decision Processes

Study on an Average Reward Reinforcement Learning Algorithm

Applying reinforcement learning and semi-markov decision process to optimize supply chain performance

Application of Combining Reinforcement Learning With Artificial Neural Network to Playing Chess

Reinforcement Learning Based Motion Planning of Dynamic Manipulation Task for Manipulator

Autonomic Joint Session Admission Control Using Reinforcement Learning

Parallel machines scheduling with reinforcement learning

A Truncated Multi-step Prioritized Sweeping Reinforcement Learning Algorithm

Research on the Architectures of Distributed Reinforcement Learning Systems

Application of Adaptive Reinforcement Learning for State Space Construction

Online Reinforcement Learning Control Method for Urban Traffic Signal of Single Intersection

Application of Hierarchical Reinforcement Learning in Robotic Soccer

Reinforcement learning integrated with simulation for job-shop scheduling system

a survey on reinforcement learning under partially observable markov environment

Multi-robot dynamic cooperation based on an immunized reinforcement learning mechanism

Fuzzy Neural Network Controller of Inverted Pendulum with Reinforcement Learning Rule

Hybrid exploration strategy for reinforcement learning

Simulation of Reinforcement Learning for Satellite Attitude Control

Action Values Based Reinforcement Learning and Optimized Reward Functions

Survey of distributed reinforcement learning algorithms in multi-agent systems

Design of the controller based on reinforcement learning and its application on truck backer-upper

Hierarchical Reinforcement Learning Scheduling ofOpen Re-entrant Queueing Network

Research on Reinforcement Learning Methods of Continuous State-Action Spaces

Reinforcement Learning Based LVQ Clustering Approach

The Optimal Reward Baseline for Policy-Gradient Reinforcement Learning

Reinforcement Learning Control Using Fuzzy Adaptive Critic

The Application of TD Based Reinforcement Learning in Satellite Attitude Control

Prior Knowledge Based Reinforcement Learning System

Survey of average reinforcement learning algorithms

Research on Optimality Criteria in Reinforcement Learning

Application of Reinforcement Learning in Missile Guidance

Multi-Agent Reinforcement Learning in Complex Environment

Study on Radial Basis Function Networks Based Reinforcement Learning in Robot Soccer

A Gradient Algorithm for Neural-Network-Based Reinforcement Learning

Research on Dynamic Team Formation of Multi-Robots Reinforcement Learning

Reinforcement learning applied in traffic signal control

Neuro-Fuzzy Control of Satellite Attitude by Reinforcement Learning

Elevator Group Control Using Reinforcement Learning with CMAC

Intelligent Attitude Control of Three-axis-stabilized Satellite Based on Fuzzy Neural Network Using Reinforcement Learning

Research on Reinforcement Learning Technology: A Review

Reinforcement Learning Control for Uncertain Systems with Time Lag

Multi-Level Coordination Control Based on Multi-Agent Reinforcement Learning for the Pressure of Gas Collectors of Coke Ovens

Reinforcement Learning Based Methods for Path Planning of Mobile Robot

A Reinforcement Learning-based Approach to Dynamic Job-shop Scheduling

Potential Field Optimization and Robot Path Planning in Multi-Obstacle Environment Based on Reinforcement Learning

Alternative Title Multi-Agent Reinforcement Learning Based on Replacing Eligibility Traces Author

Application of Reinforcement Learning to Robot Soccer

New method of hierarchical reinforcement learning

Interference Solving Strategy in Multiple Robot System Based on Reinforcement Learning Algorithm

Autonomous Micro-Helicopter Control Based on Reinforcement Learning With Cooperation

Strategic Bidding of the Electricity Producers Based on the Reinforcement Learning

Research on intrusion detection based on SMDP reinforcement learning in electric power information network

Robot Soccer Cooperation Strategy Exploration Based on Reinforcement Learning

Reinforcement learning based on FNN and its application in robot navigation

A survey of direct policy search methods in reinforcement learning

Cooperative multi-robot foraging based on reinforcement learning in unknown environment

Multi-Robot Cooperative Behavior Generation Based on Reinforcement Learning

Survey of Multi-agent Reinforcement Learning in Markov Games

A Class of Generalized Algorithms of Average-Reward Reinforcement Learning Based on Eligibility Traces

Undiscounted Reinforcement Learning Algorithm Based on Performance Potentials

Research on Fast Reinforcement Learning

Hybrid Intelligent Control for Ship Steering Based on Reinforcement Learning Algorithm

Swing-up and balance control of inverted pendulum based on reinforcement learning

Reinforcement Learning Based on Hidden Biasing Information Learning

The State Discretization Based on RBF Function for the Reinforcement Learning

Control of the Double Inverted Pendulum Based on Reinforcement Learning

Congestion Control in Networks Based on Reinforcement Learning Algorithm

Multi-Agent Reinforcement Learning Based on Replacing Eligibility Traces

Application of reinforcement learning based on artificial neural network to robot soccer

Arranging model of university timetable based on reinforcement learning

Dispatching Method Based on CMAC Reinforcement Learning Control for Elevator Group

Reinforcement Learning Control for Nonlinear Systems Based on Elman Neural Network

Multiagent Coordination Based on Reinforcement Learning and Games

A Cooperative Reinforcement Learning Method Based on the Stochastic Game in Multi-Agent Systems

A Method for Multi-Agent Coordination Based on Distributed Reinforcement Learning

A Stock Forecasting System Based On A Reinforcement Learning Algorithm

RLGA: A Reinforcement Learning Based Genetic Algorithm

Model reference adaptive control based on reinforcement learning

A Reinforcement Learning Algorithm Based on Recursive Least-squares Methods

Research of Multi-agent Coordination System Based on Reinforcement Learning

A Robust Active Queue Management Algorithm Based on Reinforcement Learning

Hierarchical Reinforcement Learning Based on System Model

An Efficient Solution Algorithm Based on Reinforcement Learning for Some NP Problems

A Multi-agent Cooperative Reinforcement Learning Algorithm Based on Team Markov Game

Simulation on Adaptive Mode of Command and Control Agent Based on Reinforcement Learning

Research on Path-planning of Robot Manipulator Based on Reinforcement Learning

Stable Biped Gait Generation Algorithm Based on T-S Fuzzy Reinforcement Learning Method

Reinforcement Learning Based on Internally Recurrent Net

A Reinforcement Learning Method Based on Node-Growing k-Means Clustering Algorithm

Research of Control Algorithm Based on Reinforcement Learning

Multi-agent cooperation based on reinforcement learning

A novel adaptive control algorithm based on reinforcement learning

Ship Steering Control Based on SA-Reinforcement Learning Algorithm

Position Control of Multi-fingered Hand Based on Reinforcement Learning

Research on Reinforcement Learning of the Robot Based on The SOM Neural Nebnwork Quantization

Design of Robot Fuzzy Logic Controller Based on Reinforcement Learning

Research on Multi-agent Team Formation Based on Reinforcement Learning

A Kind of Forgetting Reinforcement Learning Algorithm

Reinforcement Learning Method of Continuous State Adaptively Discretized Based on K-means Clustering

Path Planning of Multi-robots Systems Based on Reinforcement Learning

A Routing Model Based on Reinforcement Learning Algorithm

A Multi-Agent Reinforcement Learning Method Based on Role Tracking