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A survey of deep learning techniques for autonomous driving

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Noisy intermediate-scale quantum algorithms

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Artificial intelligence to deep learning: machine intelligence approach for drug discovery

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Intrinsic Motivation Systems for Autonomous Mental Development

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The Nucleus Accumbens: An Interface Between Cognition, Emotion, and Action

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Reinforcement learning for demand response: A review of algorithms and modeling techniques

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Transfer Learning in Deep Reinforcement Learning: A Survey

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Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey

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State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

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Improving generalization for temporal difference learning: The successor representation

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Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning

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A survey of machine learning techniques applied to software defined networking (sdn): research issues and challenges

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Artificial intelligence and machine learning approaches to energy demand-side response: a systematic review

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On-Line Building Energy Optimization Using Deep Reinforcement Learning

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Active Inference, homeostatic regulation and adaptive behavioural control

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A Review of Machine Learning and IoT in Smart Transportation

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Machine learning and AI in marketing–Connecting computing power to human insights

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Deep learning enabled inverse design in nanophotonics

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Reinforcement learning or active inference?

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Bonsai trees in your head: how the pavlovian system sculpts goal-directed choices by pruning decision trees

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Efficient computation of optimal actions

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A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management

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Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial

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Mood as representation of momentum

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Relational Reinforcement Learning

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Stochastic dynamic programming with factored representations

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The soft constraints hypothesis: A rational analysis approach to resource allocation for interactive behavior.

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A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies

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The anatomy of choice: active inference and agency

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Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design

Bian, T., & Jiang, Z.-P. (2016) · Automatica · doi:10.1016/j.automatica.2016.05.003 · Cited by 348 · see citing works

Emotion, decision making, and the amygdala.

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Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

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The anatomy of choice: dopamine and decision-making.

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From Machine Learning to Explainable AI

Holzinger, A. (2018) · 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA) · doi:10.1109/disa.2018.8490530 · Cited by 306 · see citing works

Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking

Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286 · see citing works

Tracking the emergence of conceptual knowledge during human decision making

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QoS-Aware Adaptive Routing in Multi-layer Hierarchical Software Defined Networks: A Reinforcement Learning Approach

Lin, S.-C., Akyildiz, I. F., Wang, P., & Luo, M. (2016) · 2016 IEEE International Conference on Services Computing (SCC) · doi:10.1109/scc.2016.12 · Cited by 255 · see citing works

Reinforcement Learning for Electric Power System Decision and Control: Past Considerations and Perspectives

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LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning

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Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System

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Real-time scheduling for a smart factory using a reinforcement learning approach

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Automated rationale generation: a technique for explainable AI and its effects on human perceptions

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Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach

Li, X., Fang, J., Cheng, W., Duan, H., Chen, Z., & Li, H. (2018) · IEEE Access · doi:10.1109/access.2018.2831240 · Cited by 192 · see citing works

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

Vázquez-Canteli, J. R., Ulyanin, S., Kämpf, J., & Nagy, Z. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2018.11.021 · Cited by 195 · see citing works

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

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Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review

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Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion Systems

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Machine learning for next-generation intelligent transportation systems: A survey

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Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning

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Observing the observer (I): meta-bayesian models of learning and decision-making

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The nucleus accumbens as a nexus between values and goals in goal-directed behavior: a review and a new hypothesis

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The Mixed Instrumental Controller: Using Value of Information to Combine Habitual Choice and Mental Simulation

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Expel: LLM agents are experiential learners

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Dynamic Zoom-in Network for Fast Object Detection in Large Images

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Dark control: The default mode network as a reinforcement learning agent

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A survey on trust evaluation based on machine learning

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Computational and dynamic models in neuroimaging

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Modelling ADHD: A review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning

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Hierarchical Reinforcement Learning: A Survey and Open Research Challenges

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Reinforcement learning: Computational theory and biological mechanisms

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Predictive maps in rats and humans for spatial navigation

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Coordinated energy management for a cluster of buildings through deep reinforcement learning

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A Collaborative V2X Data Correction Method for Road Safety

Zhao, L., Chai, H., Han, Y., Yu, K., & Mumtaz, S. (2022) · IEEE Transactions on Reliability · doi:10.1109/tr.2022.3159664 · Cited by 110 · see citing works

From data to optimal decision making: a data-driven, probabilistic machine learning approach to decision support for patients with sepsis

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System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey

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Increased decision thresholds enhance information gathering performance in juvenile Obsessive-Compulsive Disorder (OCD)

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Adaptive Routing for Sensor Networks using Reinforcement Learning

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Collaborative Distributed Q-Learning for RACH Congestion Minimization in Cellular IoT Networks

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Machine learning strategies for path-planning microswimmers in turbulent flows

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Untitled work

Liu, X.-Y., Yang, H., Gao, J., & Wang, C. D. (2021) · Proceedings of the Second ACM International Conference on AI in Finance · doi:10.1145/3490354.3494366 · Cited by 87 · see citing works

Adaptive call admission control under quality of service constraints: a reinforcement learning solution

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Medical QoS provision based on reinforcement learning in ultrasound streaming over 3.5G wireless systems

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Reinforcement learning-based adaptive PID controller for DPS

Lee, D., Lee, S. J., & Yim, S. C. (2020) · Ocean Engineering · doi:10.1016/j.oceaneng.2020.108053 · Cited by 80 · see citing works

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Kuutti, S., Bowden, R., Jin, Y., Barber, P., & Fallah, S. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2962338 · Cited by 96 · see citing works

A multifaceted vision of the human-AI collaboration: a comprehensive review

Puerta-Beldarrain, M., Gómez-Carmona, O., Sánchez-Corcuera, R., Casado-Mansilla, D., López-de-Ipiña, D., & Chen, L. (2025) · IEEE Access · doi:10.1109/access.2025.3536095 · Cited by 73 · see citing works

HetMEC: Heterogeneous Multi-Layer Mobile Edge Computing in the 6 G Era

Zhang, Y., Di, B., Wang, P., Lin, J., & Song, L. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2975559 · Cited by 74 · see citing works

Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

Nguyen, H. T., Cong Luong, N., Zhao, J., Yuen, C., & Niyato, D. (2020) · 2020 IEEE 6th World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot48130.2020.9221089 · Cited by 75 · see citing works

Explainability pitfalls: beyond dark patterns in explainable AI

Ehsan, U., & Riedl, M. O. (2024) · Patterns · doi:10.1016/j.patter.2024.100971 · Cited by 72 · see citing works

The empirical status of predictive coding and active inference

Hodson, R., Mehta, M., & Smith, R. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105473 · Cited by 69 · see citing works

Action-specific value signals in reward-related regions of the human brain

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Learning to flock through reinforcement

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Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles

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Human Activity Recognition Data Analysis: History, Evolutions, and New Trends

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Incremental Reinforcement Learning in Continuous Spaces via Policy Relaxation and Importance Weighting

Wang, Z., Li, H.-X., & Chen, C. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2927320 · Cited by 39 · see citing works

FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance

Liu, X.-Y., Yang, H., Gao, J., & Wang, C. (2021) · doi:10.2139/ssrn.3955949 · Cited by 46 · see citing works

Depressive symptoms are associated with blunted reward learning in social contexts

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Evidence for model-based action planning in a sequential finger movement task

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Deep reinforcement learning and its applications in medical imaging and radiation therapy: a survey

Xu, L., Zhu, S., & Wen, N. (2022) · Physics in Medicine & Biology · doi:10.1088/1361-6560/ac9cb3 · Cited by 35 · see citing works

CNN2Gate: An Implementation of Convolutional Neural Networks Inference on FPGAs with Automated Design Space Exploration

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Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound

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