1 citations · 2 across the 2 of their papers we have counts for
3 papers
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning
Juan Marcelo Parra-Ullauri, Chen Zhen, Antonio García-Domínguez +5
A Reinforcement Learning (RL) system depends on a set of initial conditions (hyperparameters) that affect the system's performance. However, defining a good choice of hyperparamete…
Reward-Reinforced Reinforcement Learning for Multi-agent Systems
Changgang Zheng, Shufan Yang, Juan Parra-Ullauri +2
Reinforcement learning algorithms in multi-agent systems deliver highly resilient and adaptable solutions for common problems in telecommunications,aerospace, and industrial roboti…
Saying Hello World with Epsilon - A Solution to the 2011 Instructive Case
Louis M. Rose, Antonio García-Domínguez, James R. Williams +3
Epsilon is an extensible platform of integrated and task-specific languages for model management. With solutions to the 2011 TTC Hello World case, this paper demonstrates some of t…