74 citations · 109 across the 6 of their papers we have counts for
6 papers
Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed Load Frequency Control
Sergio Rozada, Dimitra Apostolopoulou, Eduardo Alonso
The rise of microgrid-based architectures is heavily modifying the energy control landscape in distribution systems making distributed control mechanisms necessary to ensure reliab…
Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast
Fatemeh Najibi, Dimitra Apostolopoulou, Eduardo Alonso
With increasing concerns of climate change, renewable resources such as photovoltaic (PV) have gained popularity as a means of energy generation. The smooth integration of such res…
The Stabilisation of Equilibria in Evolutionary Game Dynamics through Mutation: Mutation Limits in Evolutionary Games
Johann Bauer, Mark Broom, Eduardo Alonso
The multi-population replicator dynamics (RD) can be considered a dynamic approach to the study of multi-player games, where it was shown to be related to Cross' learning, as well…
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models
Nathan J Olliverre, Guang Yang, Gregory Slabaugh +2
Magnetic Resonance Spectroscopy (MRS) provides valuable information to help with the identification and understanding of brain tumors, yet MRS is not a widely available medical ima…
The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation
Michael Fairbank, Eduardo Alonso
This paper gives specific divergence examples of value-iteration for several major Reinforcement Learning and Adaptive Dynamic Programming algorithms, when using a function approxi…
The Local Optimality of Reinforcement Learning by Value Gradients, and its Relationship to Policy Gradient Learning
Michael Fairbank, Eduardo Alonso
In this theoretical paper we are concerned with the problem of learning a value function by a smooth general function approximator, to solve a deterministic episodic control proble…