Submitted on 22 February 2017
We’re happy to announce that this year’s ACAI summer school will be solely devoted to Reinforcement Learning (basics and recent developments), a branch of machine learning that focuses on learning from interaction with an uncertain environment and potential peers. The school will be organized from 7th until 14th October 2017 in Nieuwpoort, Belgium.
Submitted on 21 October 2014
On Friday 28 November 2014, the AI-lab will host the 3rd edition of the Dutch-Belgian Reinforcement Learning Workshop. The goal of the workshop is to bring together members of the local reinforcement learning community, in order to share their work and exchange ideas.
More Information here.
Submitted on 11 December 2013
Session I “Reinforcement Learning into Evolutionary Computation”
15’ presentation + 5 minutes questions
Submitted on 28 October 2013
Many real-world environments have inherently multiple criteria (or objectives) that can be aligned as well as conflicting, resulting in complex Pareto fronts. To efficiently explore these complex fronts, new exploration/exploitation techniques are needed. Inspiration for such techniques can be found in multi-objective optimization.
Submitted on 24 January 2013
Multi-agent reinforcement learning (MARL) is an important and fundamental topic within agent-based research. After giving successful tutorials on this topic at EASSS 2004 (the European Agent Systems Summer School), ECML 2005, ICML 2006, EWRL 2008 and AAMAS 2009-2012, with different collaborators, we now propose a revised and updated tutorial, covering both theoretical as well as practical aspects of MARL: TUTORIAL 2013.