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A tutorial survey of reinforcement learning

https://doi.org/10.1007/bf02743935
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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4757-1895-9_16openalex-snapshot
Cooperativity in Networks of Pattern Recognizing Stochastic Learning Automata
inferredcites →https://doi.org/10.1007/bf00115009openalex-snapshot
Learning to Predict by the Methods of Temporal Differences
inferredcites →https://doi.org/10.1007/bf00335152openalex-snapshot
Landmark learning: An illustration of associative search
inferredcites →https://doi.org/10.1007/bf00453370openalex-snapshot
Associative search network: A reinforcement learning associative memory
inferredcites →https://doi.org/10.1007/bf00992697openalex-snapshot
Practical issues in temporal difference learning
inferredcites →https://doi.org/10.1007/bf00992699openalex-snapshot
Self-improving reactive agents based on reinforcement learning, planning and teaching
inferredcites →https://doi.org/10.1007/bf00992700openalex-snapshot
Transfer of learning by composing solutions of elemental sequential tasks
inferredcites →https://doi.org/10.1007/bf00992702openalex-snapshot
A reinforcement connectionist approach to robot path finding in non-maze-like environments
inferredcites →https://doi.org/10.1007/bf00993308openalex-snapshot
An Upper Bound on the Loss from Approximate Optimal-Value Functions
inferredcites →https://doi.org/10.1007/bfb0019005openalex-snapshot
On discontinuous Q-Functions in reinforcement learning
inferredcites →https://doi.org/10.1007/springerreference_178956openalex-snapshot
Efficient Exploration in Reinforcement Learning
inferredcites →https://doi.org/10.1016/0004-3702(90)90054-4openalex-snapshot
Real-time heuristic search
inferredcites →https://doi.org/10.1016/0010-4485(76)90048-8openalex-snapshot
IEEE trans. syst. man cybern
inferredcites →https://doi.org/10.1016/0166-4328(82)90001-8openalex-snapshot
Simulation of anticipatory responses in classical conditioning by a neuron-like adaptive element
inferredcites →https://doi.org/10.1016/0893-6080(88)90007-xopenalex-snapshot
Generalization of backpropagation with application to a recurrent gas market model
inferredcites →https://doi.org/10.1016/0893-6080(90)90056-qopenalex-snapshot
A stochastic reinforcement learning algorithm for learning real-valued functions
inferredcites →https://doi.org/10.1016/0893-6080(90)90088-3openalex-snapshot
Consistency of HDP applied to a simple reinforcement learning problem
inferredcites →https://doi.org/10.1016/0893-6080(94)90014-0openalex-snapshot
Introduction to the theory of neural computation
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50014-3openalex-snapshot
Strategy Learning with Multilayer Connectionist Representations
inferredcites →https://doi.org/10.1016/b978-1-4832-1448-1.50010-xopenalex-snapshot
On the Computational Economics of Reinforcement Learning
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50067-2openalex-snapshot
Self-improvement Based On Reinforcement Learning, Planning and Teaching
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50068-4openalex-snapshot
Scaling Reinforcement Learning to Robotics by Exploiting the Subsumption Architecture
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50069-6openalex-snapshot
Variable Resolution Dynamic Programming: Efficiently Learning Action Maps in Multivariate Real-valued State-spaces
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50072-6openalex-snapshot
Transfer of Learning Across Compositions of Sequential Tasks
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50073-8openalex-snapshot
Planning by Incremental Dynamic Programming
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50074-xopenalex-snapshot
Learning a Cost-Sensitive Internal Representation for Reinforcement Learning
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50075-1openalex-snapshot
Complexity and Cooperation in Q-Learning
inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50058-9openalex-snapshot
Scaling Reinforcement Learning Algorithms by Learning Variable Temporal Resolution Models
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50045-3openalex-snapshot
A Modular Q-Learning Architecture for Manipulator Task Decomposition
inferredcites →https://doi.org/10.1023/a:1022657612745openalex-snapshot
TD(λ) Converges with Probability 1
inferredcites →https://doi.org/10.1023/a:1022676722315openalex-snapshot
Technical Note: Q-Learning
inferredcites →https://doi.org/10.1037//0033-295x.88.2.135openalex-snapshot
Toward a modern theory of adaptive networks: Expectation and prediction.
inferredcites →https://doi.org/10.1057/jors.1983.154openalex-snapshot
The Hedonistic Neuron: A Theory of Memory, Learning and Intelligence
inferredcites →https://doi.org/10.1109/37.24809openalex-snapshot
Learning to control an inverted pendulum using neural networks
inferredcites →https://doi.org/10.1109/37.257890openalex-snapshot
Acquiring robot skills via reinforcement learning
inferredcites →https://doi.org/10.1109/72.134290openalex-snapshot
CMAC-based adaptive critic self-learning control
inferredcites →https://doi.org/10.1109/cdc.1989.70114openalex-snapshot
Neural networks for control and system identification
inferredcites →https://doi.org/10.1109/cdc.1993.325119openalex-snapshot
Asynchronous stochastic approximation and Q-learning
inferredcites →https://doi.org/10.1109/icnn.1993.298551openalex-snapshot
Efficient learning and planning within the Dyna framework
inferredcites →https://doi.org/10.1109/icnn.1993.298552openalex-snapshot
Exploration and model building in mobile robot domains
inferredcites →https://doi.org/10.1109/icnn.1993.298553openalex-snapshot
Hierarchical learning of robot skills by reinforcement
inferredcites →https://doi.org/10.1109/ijcnn.1990.137742openalex-snapshot
A R-P learning applied to a network model of cortical area 7a
inferredcites →https://doi.org/10.1109/ire.5547934openalex-snapshot
Proceedings of the Institute of Radio Engineers
inferredcites →https://doi.org/10.1109/isic.1991.187390openalex-snapshot
A comparison of supervised and reinforcement learning methods on a reinforcement learning task
inferredcites →https://doi.org/10.1109/tac.1982.1102980openalex-snapshot
Distributed dynamic programming
inferredcites →https://doi.org/10.1109/tsmc.1983.6313077openalex-snapshot
Neuronlike adaptive elements that can solve difficult learning control problems
inferredcites →https://doi.org/10.1109/tsmc.1985.6313371openalex-snapshot
Pattern-recognizing stochastic learning automata
inferredcites →https://doi.org/10.1109/tsmc.1987.289329openalex-snapshot
Building and Understanding Adaptive Systems: A Statistical/Numerical Approach to Factory Automation and Brain Research
inferredcites →https://doi.org/10.1115/1.3426922openalex-snapshot
A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
inferredcites →https://doi.org/10.1117/12.942749openalex-snapshot
Teaching Artificial Neural Systems To Drive: Manual Training Techniques For Autonomous Systems
inferredcites →https://doi.org/10.1137/0323023openalex-snapshot
A Survey of Some Results in Stochastic Adaptive Control
inferredcites →https://doi.org/10.1147/rd.116.0601openalex-snapshot
Some Studies in Machine Learning Using the Game of Checkers. II—Recent Progress
inferredcites →https://doi.org/10.1147/rd.33.0210openalex-snapshot
Some Studies in Machine Learning Using the Game of Checkers
inferredcites →https://doi.org/10.1147/rd.441.0206openalex-snapshot
Some studies in machine learning using the game of checkers
inferredcites →https://doi.org/10.1162/neco.1990.2.4.409openalex-snapshot
Active Perception and Reinforcement Learning
inferredcites →https://doi.org/10.1162/neco.1990.2.4.447openalex-snapshot
Discovering the Structure of a Reactive Environment by Exploration
inferredcites →https://doi.org/10.1162/neco.1991.3.1.79openalex-snapshot
Adaptive Mixtures of Local Experts
inferredcites →https://doi.org/10.1162/neco.1994.6.6.1185openalex-snapshot
On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
inferredcites →https://doi.org/10.1177/105971239300100403openalex-snapshot
Efficient Learning and Planning Within the Dyna Framework
inferredcites →https://doi.org/10.1201/9780429499661openalex-snapshot
Introduction to the Theory of Neural Computation
inferredcites →https://doi.org/10.1207/s15516709cog1603_1openalex-snapshot
Forward Models: Supervised Learning with a Distal Teacher
inferredcites →https://doi.org/10.1515/9781400874651openalex-snapshot
Applied Dynamic Programming
inferredcites →https://doi.org/10.17863/cam.132164openalex-snapshot
Learning from Delayed Rewards
inferredcites →https://doi.org/10.21236/ada254568openalex-snapshot
Coordinating, Planning and Control
inferredcites →https://doi.org/10.2307/2282884openalex-snapshot
Applied Dynamic Programming.
inferredcites →https://doi.org/10.2307/2289262openalex-snapshot
Introduction to Stochastic Dynamic Programming.
inferredcites →https://doi.org/10.23919/acc.1991.4791776openalex-snapshot
Reinforcement Learning is Direct Adaptive Optimal Control
inferredcites →https://doi.org/10.3758/bf03333113openalex-snapshot
A neuronal model of classical conditioning
inferredcites →https://doi.org/10.48456/tr-209openalex-snapshot
Efficient memory-based learning for robot control
inferredcites →https://doi.org/10.52202/079017openalex-snapshot
Advances in Neural Information Processing Systems 37
inferredcites →https://doi.org/10.52202/085713openalex-snapshot
Advances in Neural Information Processing Systems 19
inferredcites →https://doi.org/10.5860/choice.29-3934openalex-snapshot
Vision, instruction, and action
inferredcites →https://doi.org/10.7551/mitpress/3115.003.0041openalex-snapshot
Self-improving Reactive Agents: Case Studies of Reinforcement Learning Frameworks
inferredcites →https://doi.org/10.7551/mitpress/4168.001.0001openalex-snapshot
Learning in Embedded Systems
inferredcites →https://doi.org/10.7551/mitpress/4939.001.0001openalex-snapshot
Neural Networks for Control
inferredcites →https://doi.org/10.7551/mitpress/4939.003.0007openalex-snapshot
A Menu of Designs for Reinforcement Learning Over Time

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inferred← citeshttps://doi.org/10.1007/10992388_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/11579427_105openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4020-7829-3_36openalex-snapshot
Intelligent Systems Technology in the Fault Diagnosis of Electronic Systems
inferred← citeshttps://doi.org/10.1007/978-1-4939-1384-8_13openalex-snapshot
Solving Markov Decision Processes via Simulation
inferred← citeshttps://doi.org/10.1007/978-3-030-10501-3_2openalex-snapshot
Global Optimization of Continuous-Thrust Trajectories Using Evolutionary Neurocontrol
inferred← citeshttps://doi.org/10.1007/978-3-319-99492-5_13openalex-snapshot
From Reinforcement Learning to Deep Reinforcement Learning: An Overview
inferred← citeshttps://doi.org/10.1007/bf02745577openalex-snapshot
The actor-critic algorithm as multi-time-scale stochastic approximation
inferred← citeshttps://doi.org/10.1007/bf02823149openalex-snapshot
Stochastic approximation algorithms: Overview and recent trends
inferred← citeshttps://doi.org/10.1007/s40534-025-00423-2openalex-snapshot
Recent advances in wayside condition monitoring for railways: a comprehensive review
inferred← citeshttps://doi.org/10.1016/j.actaastro.2005.03.004openalex-snapshot
Optimization of very-low-thrust trajectories using evolutionary neurocontrol
inferred← citeshttps://doi.org/10.1016/j.actaastro.2007.03.011openalex-snapshot
1st ACT global trajectory optimisation competition: Results found at DLR
inferred← citeshttps://doi.org/10.1016/j.advengsoft.2023.103487openalex-snapshot
Applications of Reinforcement Learning for maintenance of engineering systems: A review
inferred← citeshttps://doi.org/10.1016/j.enconman.2005.08.012openalex-snapshot
Application of Q-learning with temperature variation for bidding strategies in market based power systems
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.01.032openalex-snapshot
Deep reinforcement learning in loop fusion problem
inferred← citeshttps://doi.org/10.1016/s0140-3664(97)00094-7openalex-snapshot
Artificial intelligence approaches to network management: recent advances and a survey
inferred← citeshttps://doi.org/10.1016/s0164-1212(96)00040-4openalex-snapshot
Quo Vadis — A framework for intelligent routing in large communication networks
inferred← citeshttps://doi.org/10.1016/s0167-6911(97)90015-3openalex-snapshot
Stochastic approximation with two time scales
inferred← citeshttps://doi.org/10.1016/s0925-2312(00)00317-9openalex-snapshot
A hybrid symbolic subsymbolic controller for complex dynamic systems
inferred← citeshttps://doi.org/10.1049/ip-gtd:20050285openalex-snapshot
Q-adjusted annealing for Q-learning of bid selection in market-based multisource power systems
inferred← citeshttps://doi.org/10.1080/17442508.2016.1215450openalex-snapshot
Stochastic recursive inclusion in two timescales with an application to the Lagrangian dual problem
inferred← citeshttps://doi.org/10.1109/acc.2007.4282156openalex-snapshot
Autotuning of Fuzzy Inference System with RL
inferred← citeshttps://doi.org/10.1109/ccta.2019.8920406openalex-snapshot
Model Predictive Control Based on Deep Reinforcement Learning Method with Discrete-Valued Input
inferred← citeshttps://doi.org/10.1109/icmlc.2003.1259588openalex-snapshot
Hybrid neurofuzzy online learning for optimal grasping
inferred← citeshttps://doi.org/10.1109/icsmc.2002.1168030openalex-snapshot
Petri net controller synthesis using genetic search
inferred← citeshttps://doi.org/10.1109/ikt57960.2022.10039013openalex-snapshot
A Survey on Utilizing Reinforcement Learning in Wireless Sensor Networks Routing Protocols
inferred← citeshttps://doi.org/10.11144/javeriana.10554.2104openalex-snapshot
Control de oxigeno disuelto en un tanque de aireación de una planta piloto de lodos activados
inferred← citeshttps://doi.org/10.1137/s036301299731669xopenalex-snapshot
Actor-Critic--Type Learning Algorithms for Markov Decision Processes
inferred← citeshttps://doi.org/10.1145/3415240openalex-snapshot
MixTAPE
inferred← citeshttps://doi.org/10.1287/ijoc.1080.0305openalex-snapshot
Reinforcement Learning: A Tutorial Survey and Recent Advances
inferred← citeshttps://doi.org/10.18743/pub.00040439openalex-snapshot
Impact of feedback loops on decision-making
inferred← citeshttps://doi.org/10.22215/etd/2016-11612openalex-snapshot
Multi-Robot Learning in the Guarding a Territory Game
inferred← citeshttps://doi.org/10.23919/sice48898.2020.9240311openalex-snapshot
Mild Action Blending Policy on Deep Reinforcement Learning with Discretized Actions for Process Control
inferred← citeshttps://doi.org/10.2478/am-2023-0006openalex-snapshot
Utility of Machine Learning Technology in Microbial Identification: A Critical Review
inferred← citeshttps://doi.org/10.2514/1.9286openalex-snapshot
Optimization of Interplanetary Solar Sailcraft Trajectories Using Evolutionary Neurocontrol
inferred← citeshttps://doi.org/10.2514/6.2002-4989openalex-snapshot
Optimization of Interplanetary Rendezvous Trajectories for Solar Sailcraft Using a Neurocontroller
inferred← citeshttps://doi.org/10.2514/6.2004-5405openalex-snapshot
Evolutionary Neurocontrol: A Smart Method for Global Optimization of Low-Thrust Trajectories
inferred← citeshttps://doi.org/10.3389/fmicb.2022.925454openalex-snapshot
Machine Learning Advances in Microbiology: A Review of Methods and Applications
inferred← citeshttps://doi.org/10.35444/ijana.2019.11021openalex-snapshot
Performance of Q-Learning algorithms in DASH
inferred← citeshttps://doi.org/10.48550/arxiv.2111.07779openalex-snapshot
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