Symposium on Lifelong Explainable Robot Learning (SYMPLER) 2023 🦾

Our lab (LiteRL) and our sister lab (Pearl) co-hosted the Symposium on Lifelong and Explainable Robot Learning in Nürnberg.

Aryaman Reddi आर्यमान रेड्डी
Dec 5, 2023 1 min read
SYMPLER Symposium

Thanks to the growing presence of robots interacting in human spaces, the need for reliable and safe robot learning systems is greater than ever. The SYMPLER symposium tackled this need by focusing especially on both explainability and lifelong learning, as these are two keys areas in which we can robustify robot learning for human interaction.

We hosted a number of speakers with expertise in the fields of robot learning and reinforcement learning, including the ever-impressive Wolfram Burgard.

Professor Georgia Chalvatzaki's (Head of PEARL) introduction to the symposium.
Proffesor Wolfram Burgard's presentation on his lab's latest work.

Additionally, we got to present our current research projects (and how they might help in some way in the quest towards explainability and lifelong learning in AI systems).

Professor Carlo D'Eramo's (Head of LiteRL) introduction talk.
My presentation.

We also had a chance to explore the beautiful Christmas markets of Nürnberg, which were an absolute treat.

Carlo with half of his PhDs.
Carlo with half of his PhDs.
Academic RL Robotics Event
Aryaman Reddi आर्यमान रेड्डी
Aryaman Reddi आर्यमान रेड्डी
PhD Student in Reinforcement Learning

My research looks at developing sample-efficient reinforcement learning algorithms using game theoretical analyses of multi-agent settings.