Citation Impact
Citing Papers
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues
2019
A comprehensive survey on safe reinforcement learning
2015 Standout
The Malmo platform for artificial intelligence experimentation
2016
Schema networks: zero-shot transfer with a generative causal model of intuitive physics
2017
Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning
2015
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
2010
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
2017
Learning from Demonstrations for Real World Reinforcement Learning
2017
Continual lifelong learning with neural networks: A review
2019 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Neuroevolutionary reinforcement learning for generalized control of simulated helicopters
2011
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
2016 Standout
Transfer learning for activity recognition: a survey
2013
State representation learning for control: An overview
2018
A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations
2018
Do no harm: a roadmap for responsible machine learning for health care
2019 Standout
Automated Search for new Quantum Experiments
2016 StandoutNobel
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Deep learning in neural networks: An overview
2014 Standout
Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes
2023 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Deep learning for sensor-based activity recognition: A survey
2018 Standout
Imitation Learning
2017
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
2017
The adARC pattern analysis architecture for adaptive human activity recognition systems
2011
An efficient initialization approach of Q-learning for mobile robots
2012
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Active learning machine learns to create new quantum experiments
2018 StandoutNobel
Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data
2019 Standout
Wireless data communications
1994
Reinforcement learning for building controls: The opportunities and challenges
2020 Standout
Transfer learning using computational intelligence: A survey
2015
On-Line Building Energy Optimization Using Deep Reinforcement Learning
2018 Standout
Optimizing Cascaded Chains of Unmanned Aircraft Acting as Communication Relays
2012
Probabilistic Policy Reuse for inter-task transfer learning
2010
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
2017
Deep visual domain adaptation: A survey
2018 Standout
The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance
2021 Standout
A State-of-the-Art Survey on Deep Learning Theory and Architectures
2019
RULES-IT: incremental transfer learning with RULES family
2014
Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions
2017
Deep Reinforcement Learning That Matters
2018
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
A Comprehensive Survey on Transfer Learning
2020 Standout
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
2017 Standout
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Transitive Transfer Learning
2015
Reinforcement learning improves behaviour from evaluative feedback
2015 Nature
Industry 5.0—A Human-Centric Solution
2019 Standout
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
A tutorial on human activity recognition using body-worn inertial sensors
2014 Standout
Transfer Learning for Visual Categorization: A Survey
2014
On the Performance of Indirect Encoding Across the Continuum of Regularity
2011
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network
2020 Standout
A survey on ensemble learning
2019 Standout
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
2019 Standout
Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges
2019 Standout
Deep Reinforcement Learning: A Survey
2022 Standout
The global landscape of AI ethics guidelines
2019 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Deep Q-learning From Demonstrations
2018
Multimodal freight transportation planning: A literature review
2013 Standout
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Deep Reinforcement Learning: A Brief Survey
2017 Standout
The Arcade Learning Environment: An Evaluation Platform for General Agents
2012
Performance analysis of the IEEE 802.11 distributed coordination function
2000 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
2016 Standout
Sociogenesis, Coordination and Mutualism
1991
A Survey on Applications of Model-Free Strategy Learning in Cognitive Wireless Networks
2016
A Distributed Decision-Making Structure for Dynamic Resource Allocation Using Nonlinear Functional Approximations
2005
Toward a knowledge‐based theory of the firm
1996 Standout
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
A survey of transfer learning
2016 Standout
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Works of Matthew E. Taylor being referenced
Representation Transfer for Reinforcement Learning
2007
Value functions for RL-based behavior transfer: a comparative study
2005
Autonomous transfer for reinforcement learning
2008
Integrating reinforcement learning with human demonstrations of varying ability
2011
Reinforcement learning transfer via sparse coding
2012
Dimensionality Reduced Reinforcement Learning for Assistive Robots.
2016
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
2007
Policy Transfer using Reward Shaping
2015
Reinforcement learning from demonstration through shaping
2015
Online Multi-Task Learning for Policy Gradient Methods
2014
Inter-task action correlation for reinforcement learning tasks
2006
Learning from Demonstration for Shaping through Inverse Reinforcement Learning
2016
Is multiagent deep reinforcement learning the answer or the question? A brief survey
2018
Transfer Learning for Reinforcement Learning Domains: A Survey
2009
Generalized Domains for Empirical Evaluations in Reinforcement Learning
2009
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
2020
Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment
2015
Mitigating multi-path fading in a mobile mesh network
2011
Multi-objectivization and ensembles of shapings in reinforcement learning
2017
Transfer in Reinforcement Learning Domains
2009
Distributed Artificial Intelligence
2020
A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback
2014
Protecting against evaluation overfitting in empirical reinforcement learning
2011
A survey and critique of multiagent deep reinforcement learning
2019
Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning
2009
Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping
2009
Wireless in-building network architecture and protocols
1991
Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning
2015