Citation Impact
Citing Papers
High Confidence Policy Improvement
2015
Addressing environment non-stationarity by repeating Q-learning updates
2016
Multi-agent query reformulation: Challenges and the role of diversity
2019
Origin of Antibiotics and Antibiotic Resistance, and Their Impacts on Drug Development: A Narrative Review
2023 Standout
State-of-the-art in artificial neural network applications: A survey
2018 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
2023
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
2018 Standout
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
2022 Standout
A Comprehensive Survey on the Application of Deep and Reinforcement Learning Approaches in Autonomous Driving
2022
A multi-objective deep reinforcement learning framework
2020
Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
2018 Standout
Cooperative control of modular space robots
2011
Evolutionary Dynamics of Multi-Agent Learning: A Survey
2015
Learning agile and dynamic motor skills for legged robots
2019 Standout
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
Trust Region Policy Optimization
2015 Standout
Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling
2014
Emulation techniques for the reduction and sensitivity analysis of complex environmental models
2011
Optimum outflow determination of the multi-reservoir system using constrained improved artificial bee colony algorithm
2019
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
2019 Standout
INFO: An efficient optimization algorithm based on weighted mean of vectors
2022 Standout
Deep Reinforcement Learning: A Brief Survey
2017 Standout
Characterising performance of environmental models
2012 Standout
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
2020 Standout
ADAPTIVE STEP-SIZES FOR REINFORCEMENT LEARNING
2021
A Survey of Deep Learning: Platforms, Applications and Emerging Research Trends
2018
A bottom‐up approach to identifying the maximum operational adaptive capacity of water resource systems to a changing climate
2016
Future climate risk from compound events
2018 Standout
A review of space robotics technologies for on-orbit servicing
2014 Standout
Works of Marcello Restelli being referenced
Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning
2019
Adaptive Step-Size for Policy Gradient Methods
2013
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game.
2007
Safe Policy Iteration
2013
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters
2019
Efficient Evolutionary Dynamics with Extensive-Form Games
2013
Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation
2016
Data-driven dynamic emulation modelling for the optimal management of environmental systems
2011
Evolutionary Dynamics of Q-Learning over the Sequence Form
2014
Automatic Error Detection and Reduction for an Odometric Sensor based on Two Optical Mice
2006
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review
2022
Reinforcement distribution in fuzzy Q-learning
2008
A multiobjective reinforcement learning approach to water resources systems operation: Pareto frontier approximation in a single run
2013
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving
2020
Tree‐based reinforcement learning for optimal water reservoir operation
2010
Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation
2015