Hi.

You have found Clemens Rosenbaum's web site. I am a PhD candidate at the College of Information and Computer Sciences at the University of Massachusetts Amherst, where I am advised by Sridhar Mahadevan.
My interests span several machine learning disciplines, in particular deep learning and reinforcement learning.




About me and my interests

I am interested in a subfield of artificial intelligence called 'machine learning', the automated discovery of models to solve particular problems. My research focuses on deep learning and reinforcement learning.

Currently, I try to use these approaches to learn models that incorporate long-term memory, i.e. that are able to remember facts or events for an arbitrary amount of time. My go-to example is dialogue, where the (probably) best-known applications of artificial dialog agents include 'intelligent assistants' such as Amazon's Alexa, Apple's Siri, Google's Now, and Microsoft's Cortana.

A very short CV:

My papers

  • Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, B. Kawass, Kartik Talamadupula, and Gerald Tesauro. "Learning to query, reason and answer question on ambiguous texts." (ICLR 2017).
  • Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, B. Kawass, Kartik Talamadupula, and Gerald Tesauro. "Learning to query, reason and answer question on ambiguous texts." (Deep Learning for Action and Interaction workshop at NIPS 2016).
  • Ishan P. Durugkar, Clemens Rosenbaum, Stefan Dernbach, Sridhar Mahadevan. "Deep Reinforcement Learning With Macro-Actions" (arxiv, 2016).
  • Clemens Rosenbaum and Sridhar Mahadevan. "Boosting Gradient Algorithms for Multi-Agent Games" (LICMAS Workshop at NIPS 2015).

Contact

My preferred type of contact is via email at cgbr@cs.umass.edu.