The systematic evaluation of auxiliary tasks in reinforcement learning published in “Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison” by first author Moritz Lange (Dataninja-colleague from Ruhr University Bochum) generated significant interest, as did my presentation of our work “Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning”.
The quality of our collaboration in the Dataninja (RL)3-project was acknowledged: we are excited to share that the comparison of auxiliary tasks for RL won the Best Paper Award!
Set against the picturesque backdrop of the Lake District, the conference provided an ideal setting for the thought-provoking keynote speeches that spanned a wide range of topics, from neuroscience to large language models and their applications. The LOD conference is held in conjunction with the Advanced Course & Symposium on Artificial Intelligence & Neuroscience (ACAIN), a collaboration that fosters mutual respect for advancements in each respective field and promotes the exchange of valuable insights, enhancing the experience and value of both conferences.
Beyond the scientific sessions, the hikes in the hills surrounding Lake Grasmere offered a fantastic opportunity for more in-depth discussions about science and life.