Citation Impact
Citing Papers
Addressing environment non-stationarity by repeating Q-learning updates
2016
Is multiagent deep reinforcement learning the answer or the question? A brief survey
2018
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Review on the research and practice of deep learning and reinforcement learning in smart grids
2018 Standout
Machine learning-guided engineering of genetically encoded fluorescent calcium indicators
2024 StandoutNobel
Reinforcement learning for building controls: The opportunities and challenges
2020 Standout
Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas
2015
Evolutionary Dynamics of Multi-Agent Learning: A Survey
2015
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
A survey of variants and extensions of the resource-constrained project scheduling problem
2009 Standout
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Learning agents for the multi-mode project scheduling problem
2010
A survey on ensemble learning
2019 Standout
Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids
2019
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
2019 Standout
Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems
2015
Battery Energy Management in a Microgrid Using Batch Reinforcement Learning
2017
An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination
2012 Standout
Consensus reaching in social network group decision making: Research paradigms and challenges
2018 Standout
A survey and critique of multiagent deep reinforcement learning
2019
A Survey on Applications of Model-Free Strategy Learning in Cognitive Wireless Networks
2016
Counterfactual Multi-Agent Policy Gradients
2018 Standout
Multi-agent differential graphical games: Online adaptive learning solution for synchronization with optimality
2012
Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices
2019
Distributed Optimization of Solar Micro-grid Using Multi Agent Reinforcement Learning
2015
Works of Peter Vrancx being referenced
Switching dynamics of multi-agent learning
2008
An RL approach to common-interest continuous action games
2012
Learning multi-agent state space representations
2010
Forecasting day-ahead electricity prices in Europe: The importance of considering market integration
2017
Decentralized Learning in Markov Games
2008
Multi-objectivization and ensembles of shapings in reinforcement learning
2017
Reinforcement Learning for Energy-Reducing Start-Up Schemes
2012
Learning what to observe in multi-agent systems
2009