Khashayar Rohanimanesh

20 papers A* 6A 4Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving.
CoRR
Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, Vladislav Isenbaev, Ashwin Balakrishna, Ishan Gupta, Wei Liu, Aleksandr Petiushko
2023 A* conf
Online Tool Selection with Learned Grasp Prediction Models.
ICRA
Khashayar Rohanimanesh, Jake Metzger, William Richards, Aviv Tamar
2023 J jnl
Online Tool Selection with Learned Grasp Prediction Models.
CoRR
Khashayar Rohanimanesh, Jake Metzger, William Richards, Aviv Tamar
2020 J jnl
Self-Supervised Goal-Conditioned Pick and Place.
CoRR
Coline Devin, Payam Rowghanian, Chris Vigorito, William Richards, Khashayar Rohanimanesh
2018 A conf
Discovering Surprising Documents with Context-Aware Word Representations.
IUI
Michal Derezinski, Khashayar Rohanimanesh, Aamer Hydrie
2018 — conf
Imitation Learning from Visual Data with Multiple Intentions.
ICLR (Poster)
Aviv Tamar, Khashayar Rohanimanesh, Yinlam Chow, Chris Vigorito, Ben Goodrich, Michael Kahane, Derik Pridmore
2013 J jnl
Decision-Theoretic Planning with Concurrent Temporally Extended Actions
CoRR
Khashayar Rohanimanesh, Sridhar Mahadevan
2011 A* conf
SampleRank: Training Factor Graphs with Atomic Gradients.
ICML
Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum
2009 A conf
An Entity Based Model for Coreference Resolution.
SDM
Michael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum
2009 — conf
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference.
NIPS
Michael L. Wick, Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum
2008 — conf
A Discriminative Approach to Ontology Mapping.
NTII
Michael L. Wick, Khashayar Rohanimanesh, Andrew McCallum, AnHai Doan
2008 A* conf
A unified approach for schema matching, coreference and canonicalization.
KDD
Michael L. Wick, Khashayar Rohanimanesh, Karl Schultz, Andrew McCallum
2007 A conf
Collision detection in legged locomotion using supervised learning.
IROS
Finale Doshi, Emma Brunskill, Alexander C. Shkolnik, Thomas Kollar, Khashayar Rohanimanesh, Russ Tedrake, Nicholas Roy
2007 J jnl
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data.
J. Mach. Learn. Res.
Charles Sutton, Andrew McCallum, Khashayar Rohanimanesh
2005 A* conf
Coarticulation: an approach for generating concurrent plans in Markov decision processes.
ICML
Khashayar Rohanimanesh, Sridhar Mahadevan
2004 — conf
Coarticulation in Markov Decision Processes.
NIPS
Khashayar Rohanimanesh, Robert Platt Jr., Sridhar Mahadevan, Roderic A. Grupen
2004 A* conf
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data.
ICML
Charles Sutton, Khashayar Rohanimanesh, Andrew McCallum
2002 — conf
Learning to Take Concurrent Actions.
NIPS
Khashayar Rohanimanesh, Sridhar Mahadevan
2001 A conf
Decision-Theoretic Planning with Concurrent Temporally Extended Actions.
UAI
Khashayar Rohanimanesh, Sridhar Mahadevan
2001 A* conf
Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation.
ICRA
Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan