LyTopia
"The powerful play goes on...
And you may contribute a verse."
And you may contribute a verse."
- My research interests lie primarily in designing efficient learning algorithms to guide agents toward better equilibriums in multi-agent tasks. For experts: (1) solving sequential social dilemmas, by designing learning algorithms that incorporate mechanism design, and (2) designing learning methods for mechanism design problems.
- Most of my focus is on sequential mixed-motive multi-agent scenarios, and I am particularly interested in communication mechanisms (keywords: information design, Bayesian persuasion, cheap talk), as well as some other mechanisms that influence others, such as incentivization.
- My expertise in learning methods lies in reinforcement learning (RL), particularly multi-agent hyper-gradient modeling, and in large language models (LLMs).
And how could one endure being a man, if not also for the possibility to create, guess riddles, and redeem accidents? To redeem those who lived in the past and to recreate all "it was" into "thus I willed it" — that alone should I call redemption. — Friedrich Nietzsche, Thus Spoke Zarathustra.