Aryaman Reddi

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Research Interests

Reinforcement Learning, Machine Learning, Game Theory, Multi-agent Systems

More Information

GitHub

Contact Information

Aryaman Reddi
TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Office. Room E327, Building S2|02
work+49-6151-16-25371

Aryaman Reddi joined the Intelligent Autonomous Systems lab in August 2022 as a PhD student. His research is focused on multi-agent reinforcement learning systems and the relationship between practical agent performance and theoretical analysis. He is supervised by Dr Carlo D'Eramo of the LiteRL group.

He read Information and Computer Engineering at the University of Cambridge, where he received his BA and MEng. His Master's thesis, titled "Deep Q-Learning for Congruent Non-Dominated Game Strategies", investigated the generalisability of deep Q-learning agents under bounded rationality, and was supervised by Professor Glenn Vinnicombe of the Control Group.

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