Rohanimanesh, Khashayar

9 publications

ICLR 2018 Imitation Learning from Visual Data with Multiple Intentions Aviv Tamar, Khashayar Rohanimanesh, Yinlam Chow, Chris Vigorito, Ben Goodrich, Michael Kahane, Derik Pridmore

ICML 2011 SampleRank: Training Factor Graphs with Atomic Gradients Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum

NeurIPS 2009 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum, Michael J. Black

JMLR 2007 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data Charles Sutton, Andrew McCallum, Khashayar Rohanimanesh

ICML 2005 Coarticulation: An Approach for Generating Concurrent Plans in Markov Decision Processes Khashayar Rohanimanesh, Sridhar Mahadevan

NeurIPS 2004 Coarticulation in Markov Decision Processes Khashayar Rohanimanesh, Robert Platt, Sridhar Mahadevan, Roderic Grupen

ICML 2004 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data Charles Sutton, Khashayar Rohanimanesh, Andrew McCallum

NeurIPS 2002 Learning to Take Concurrent Actions Khashayar Rohanimanesh, Sridhar Mahadevan

UAI 2001 Decision-Theoretic Planning with Concurrent Temporally Extended Actions Khashayar Rohanimanesh, Sridhar Mahadevan