research
∙
07/21/2023
Towards practical reinforcement learning for tokamak magnetic control
Reinforcement learning (RL) has shown promising results for real-time co...
share
research
∙
05/25/2021
From Motor Control to Team Play in Simulated Humanoid Football
Intelligent behaviour in the physical world exhibits structure at multip...
research
∙
08/23/2018
Pathologies in information bottleneck for deterministic supervised learning
Information bottleneck (IB) is a method for extracting information from ...
research
∙
01/18/2018
Upgrading from Gaussian Processes to Student's-T Processes
Gaussian process priors are commonly used in aerospace design for perfor...
research
∙
09/19/2017
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes
The incorporation of macro-actions (temporally extended actions) into mu...
research
∙
06/08/2017
Estimating Mixture Entropy with Pairwise Distances
Mixture distributions arise in many parametric and non-parametric settin...
research
∙
05/06/2017
Nonlinear Information Bottleneck
Information bottleneck [IB] is a technique for extracting information in...
research
∙
06/07/2016
