Reinforcement Learning: An Introduction

LINEAR-NONLINEAR-POISSON MODELS OF PRIMATE CHOICE DYNAMICS

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An Algorithmic Description of XCS

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Opposition-Based Reinforcement Learning

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Dopaminergic control of the exploration-exploitation trade-off via the basal ganglia

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Neural Network Based Online Simultaneous Policy Update Algorithm for Solving the HJI Equation in Nonlinear $H_{\infty}$ Control

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Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market

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The multiple effects of practice: skill, habit and reduced cognitive load

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The timing of action determines reward prediction signals in identified midbrain dopamine neurons

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Dynamic Beam Hopping Method Based on Multi-Objective Deep Reinforcement Learning for Next Generation Satellite Broadband Systems

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Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems

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Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

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Classifiers that approximate functions

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Dopamine Reward Prediction Error Responses Reflect Marginal Utility

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Reinforcement Learning in Continuous Action Spaces

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Modeling Trait Anxiety: From Computational Processes to Personality

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Reinforcement Learning-Based Variable Speed Limit Control Strategy to Reduce Traffic Congestion at Freeway Recurrent Bottlenecks

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Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning

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A reinforcement learning diffusion decision model for value-based decisions

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An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization

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Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax

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Control of exploitation–exploration meta-parameter in reinforcement learning

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Statistical Pattern Recognition

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Deep Reinforcement Learning With Visual Attention for Vehicle Classification

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Cerebellar and Prefrontal Cortex Contributions to Adaptation, Strategies, and Reinforcement Learning

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Midbrain dopamine neurons signal belief in choice accuracy during a perceptual decision

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Dissociated roles of the anterior cingulate cortex in reward and conflict processing as revealed by the feedback error-related negativity and N200

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Updating memories—The role of prediction errors in memory reconsolidation

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Interaction between emotional state and learning underlies mood instability

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Measuring universal intelligence: Towards an anytime intelligence test

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Neuroscientific Model of Motivational Process

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A reinforcement learning approach to automatic generation control

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Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network

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Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints

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Reinforcement learning for energy conservation and comfort in buildings

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Separate neural representations of prediction error valence and surprise: Evidence from an fMRI meta‐analysis

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Translating Birdsong: Songbirds as a Model for Basic and Applied Medical Research

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Hierarchical control over effortful behavior by rodent medial frontal cortex: A computational model.

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Representation of spontaneous movement by dopaminergic neurons is cell-type selective and disrupted in parkinsonism

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Building Ethics into Artificial Intelligence

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Informing sequential clinical decision-making through reinforcement learning: an empirical study

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High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning

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First return, then explore

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Intelligent Train Operation Algorithms for Subway by Expert System and Reinforcement Learning

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Hierarchical Deep Reinforcement Learning for Continuous Action Control

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Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty Handling Perspective

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A theoretical and empirical analysis of Expected Sarsa

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A Neural Signature of Hierarchical Reinforcement Learning

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The Neuroscience of Learning: Beyond the Hebbian Synapse

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Experiments in Fixed-Wing UAV Perching

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Hierarchical reinforcement learning for self‐driving decision‐making without reliance on labelled driving data

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A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales

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Water reservoir control under economic, social and environmental constraints

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Action selection and refinement in subcortical loops through basal ganglia and cerebellum

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Intrinsic Valuation of Information in Decision Making under Uncertainty

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Machine Learning for Financial Risk Management: A Survey

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Risk-sensitive reinforcement learning applied to control under constraints

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Innovative Materials Science via Machine Learning

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Striatal Contributions to Declarative Memory Retrieval

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Hysteretic Q-learning : an algorithm for Decentralized Reinforcement Learning in Cooperative Multi-Agent Teams

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Rapid instructed task learning: A new window into the human brain’s unique capacity for flexible cognitive control

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Dynamic Programming Approximations for a Stochastic Inventory Routing Problem

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Musical reward prediction errors engage the nucleus accumbens and motivate learning

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Digital deception: generative artificial intelligence in social engineering and phishing

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Crossing the Reality Gap: A Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning

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The algorithmic architecture of exploration in the human brain

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The security of machine learning in an adversarial setting: A survey

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The Basal Ganglia’s Contributions to Perceptual Decision Making

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A deep reinforcement learning approach for chemical production scheduling

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Adaptive Dynamic Programming for Networked Control Systems Under Communication Constraints: A Survey of Trends and Techniques

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Human and AI Ensembles: When Can They Work?

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Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities

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Recent Advances in Radio Resource Management for Heterogeneous LTE/LTE-A Networks

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Nonliteral understanding of number words

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Tree‐based reinforcement learning for optimal water reservoir operation

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Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice

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Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

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Context, scale structure, and statistics in the interpretation of positive-form adjectives

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Quantum Speedup for Active Learning Agents

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Game Theory-Based Control System Algorithms with Real-Time Reinforcement Learning: How to Solve Multiplayer Games Online

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Leader-to-Formation Stability of Multiagent Systems: An Adaptive Optimal Control Approach

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Evaluating reinforcement learning agents for anatomical landmark detection

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Quantitative Phase Imaging and Artificial Intelligence: A Review

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Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning

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Flow: A Modular Learning Framework for Mixed Autonomy Traffic

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Learning in the Credit Card Market

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Optimal medication dosing from suboptimal clinical examples: a deep reinforcement learning approach

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‘Rational’ Theories of Voter Turnout: A Review

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Deciding When to Decide: Time-Variant Sequential Sampling Models Explain the Emergence of Value-Based Decisions in the Human Brain

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The research domain criteria framework: The case for anterior cingulate cortex

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Optimal resource allocation using reinforcement learning for IoT content-centric services

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The intelligent critic framework for advanced optimal control

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Reinforcement Learning in Continuous State and Action Spaces

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The successor representation: Its computational logic and neural substrates

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Beyond working memory: the role of persistent activity in decision making

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Feedback Produces Divergence From Prospect Theory in Descriptive Choice

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Ubiquity and Specificity of Reinforcement Signals throughout the Human Brain

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DRL360: 360-degree Video Streaming with Deep Reinforcement Learning

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Prediction signals in the cerebellum: Beyond supervised motor learning

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Deep Reinforcement Learning

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Experimental evaluation of model-free reinforcement learning algorithms for continuous HVAC control

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ИСПОЛЬЗОВAНИЕ ПОТЕНЦИAЛA СОЦИAЛЬНЫХ ПAРТНЕРОВ В ПОДГОТОВКЕ БУДУЩИХ ПЕДAГОГОВ

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DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATION

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Susquehanna Chorale Spring Concert "Roots and Wings"

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Review on Reinforcement-concrete Bonded Anchorage

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Variable Ratio Reinforcement and Differential Reinforcement

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