Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. - Georgios Theocharous; Khashayar Rohanimanesh; Sridhar Mahadevan (ICRA, 2001)

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

Learning to Take Concurrent Actions. - Khashayar Rohanimanesh; Sridhar Mahadevan (NIPS, 2002)

Coarticulation in Markov Decision Processes. - Khashayar Rohanimanesh; Robert Platt Jr. 001; Sridhar Mahadevan; Roderic A. Grupen (NIPS, 2004)

Coarticulation: an approach for generating concurrent plans in Markov decision processes. - Khashayar Rohanimanesh; Sridhar Mahadevan (ICML, 2005)

Collision detection in legged locomotion using supervised learning. - Finale Doshi; Emma Brunskill; Alexander C. Shkolnik; Thomas Kollar; Khashayar Rohanimanesh; Russ Tedrake; Nicholas Roy (IROS, 2007)

Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data. - Charles Sutton; Andrew McCallum; Khashayar Rohanimanesh (J. Mach. Learn. Res., 2007)

A unified approach for schema matching, coreference and canonicalization. - Michael L. Wick; Khashayar Rohanimanesh; Karl Schultz; Andrew McCallum (KDD, 2008)

A Discriminative Approach to Ontology Mapping. - Michael L. Wick; Khashayar Rohanimanesh; Andrew McCallum; AnHai Doan (NTII, 2008)

Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference. - Michael L. Wick; Khashayar Rohanimanesh; Sameer Singh 001; Andrew McCallum (NIPS, 2009)

An Entity Based Model for Coreference Resolution. - Michael L. Wick; Aron Culotta; Khashayar Rohanimanesh; Andrew McCallum (SDM, 2009)

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

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

Discovering Surprising Documents with Context-Aware Word Representations. - Michal Derezinski; Khashayar Rohanimanesh; Aamer Hydrie (IUI, 2018)

Self-Supervised Goal-Conditioned Pick and Place. - Coline Devin; Payam Rowghanian; Chris Vigorito; William Richards; Khashayar Rohanimanesh (CoRR, 2020)

Online Tool Selection with Learned Grasp Prediction Models. - Khashayar Rohanimanesh; Jake Metzger; William Richards; Aviv Tamar (ICRA, 2023)

CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving. - Jonathan Booher; Khashayar Rohanimanesh; Junhong Xu; Vladislav Isenbaev; Ashwin Balakrishna; Ishan Gupta; Wei Liu; Aleksandr Petiushko (CoRR, 2024)