Reinforcement Learning: An Introduction

Dopamine enhances model-based over model-free choice behavior

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Model-based learning protects against forming habits

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Robot learning from demonstration by constructing skill trees

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A reservoir of time constants for memory traces in cortical neurons

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Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With $\varepsilon$-Error Bound

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Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient

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Toward Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches

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Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming

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Reinforcement learning can account for associative and perceptual learning on a visual-decision task

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Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project

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Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics

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Virtual Reality Over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management

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Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination

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The role of habit in compulsivity

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Dynamic Treatment Regimes

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Crowdsourced Data Management: A Survey

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Game Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems

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Speaker-Follower Models for Vision-and-Language Navigation

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Caudate Encodes Multiple Computations for Perceptual Decisions

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The anatomy of choice: dopamine and decision-making.

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CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving

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Mechanisms underlying dopamine-mediated reward bias in compulsive behaviors

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Resolving uncertainty in a social world

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Expectancy-related changes in firing of dopamine neurons depend on orbitofrontal cortex

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Augmenting organizational decision-making with deep learning algorithms: principles, promises, and challenges

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Adaptive learning under expected and unexpected uncertainty

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Behavioral Variability through Stochastic Choice and Its Gating by Anterior Cingulate Cortex

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A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

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A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution

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Quantum computing for finance

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Multi-agent discrete-time graphical games and reinforcement learning solutions

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Agent-based simulation-an application to the new electricity trading arrangements of England and Wales

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Reinforcement learning for automatic test case prioritization and selection in continuous integration

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Space, Time, and Fear: Survival Computations along Defensive Circuits

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The Orbitofrontal Cortex and Ventral Tegmental Area Are Necessary for Learning from Unexpected Outcomes

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A meta-analytic review of two modes of learning and the description-experience gap.

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Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning

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Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications

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Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design

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Foraging for foundations in decision neuroscience: insights from ethology

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Reinforcement Learning for Real-Time Pricing and Scheduling Control in EV Charging Stations

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Reflexion: Language Agents with Verbal Reinforcement Learning

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Training excitatory-inhibitory recurrent neural networks for cognitive tasks: A simple and flexible framework

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FlipIt: The Game of “Stealthy Takeover”

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The Role of Human Orbitofrontal Cortex in Value Comparison for Incommensurable Objects

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The neural and computational systems of social learning

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Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems

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Autonomous helicopter control using reinforcement learning policy search methods

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A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs

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Intelligent Offloading in Multi-Access Edge Computing: A State-of-the-Art Review and Framework

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Habits without values.

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Prefrontal Cortex and Impulsive Decision Making

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Evolutionary Robotics: What, Why, and Where to

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Value Function Approximation in Reinforcement Learning Using the Fourier Basis

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Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments

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Elevator Group Control Using Multiple Reinforcement Learning Agents

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An Adaptive Network-Based Reinforcement Learning Method for MPPT Control of PMSG Wind Energy Conversion Systems

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Google Research Football: A Novel Reinforcement Learning Environment

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A Survey of Beam Management for mmWave and THz Communications Towards 6G

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Uncertainty, epistemics and active inference

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Reinforcement learning design for cancer clinical trials

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Computational mechanisms of curiosity and goal-directed exploration

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Deep Reinforcement Learning Paradigm for Performance Optimization of Channel Observation–Based MAC Protocols in Dense WLANs

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Motor Learning with Unstable Neural Representations

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Deep reinforcement learning with successor features for navigation across similar environments

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From Creatures of Habit to Goal-Directed Learners

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Video Captioning via Hierarchical Reinforcement Learning

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A review on deep reinforcement learning for fluid mechanics

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Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview

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Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts

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Opposite initialization to novel cues in dopamine signaling in ventral and posterior striatum in mice

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Learning Optimal Resource Allocations in Wireless Systems

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A Tutorial on Terahertz-Band Localization for 6G Communication Systems

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Neural signature of fictive learning signals in a sequential investment task

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Kernel-Based Least Squares Policy Iteration for Reinforcement Learning

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Changing Behavior Using the Theory of Planned Behavior

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Multi-task reinforcement learning

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Adaptive ε-Greedy Exploration in Reinforcement Learning Based on Value Differences

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Transfer in Reinforcement Learning: A Framework and a Survey

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Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks

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Online Synchronous Approximate Optimal Learning Algorithm for Multi-Player Non-Zero-Sum Games With Unknown Dynamics

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Adaptive game AI with dynamic scripting

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Reinforcement learning for robot soccer

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Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

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What is reinforced by phasic dopamine signals?

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Model-Based Comparisons of Pool and Bilateral Markets for Electricity

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Thermodynamics as a theory of decision-making with information-processing costs

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Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment

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Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning

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AdaViT: Adaptive Vision Transformers for Efficient Image Recognition

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Dynamics systems vs. optimal control — a unifying view

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Experience Replay for Real-Time Reinforcement Learning Control

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Dopamine prediction error responses integrate subjective value from different reward dimensions

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Reinforcement Learning in Robotics: Applications and Real-World Challenges

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Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning

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Active and passive contributions to spatial learning

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Neuronal Dynamics Regulating Brain and Behavioral State Transitions

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Federated Learning

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Striatal and Tegmental Neurons Code Critical Signals for Temporal-Difference Learning of State Value in Domestic Chicks

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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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