Online Tool Selection with Learned Grasp Prediction Models von Rohanimanesh, Khashayar, Metzger, Jake, Richards, William, Tamar, Aviv

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CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving von Booher, Jonathan, Rohanimanesh, Khashayar, Xu, Junhong, Isenbaev, Vladislav, Balakrishna, Ashwin, Gupta, Ishan, Liu, Wei, Petiushko, Aleksandr

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Uniformly Safe RL with Objective Suppression for Multi-Constraint Safety-Critical Applications von Zhou, Zihan, Booher, Jonathan, Rohanimanesh, Khashayar, Liu, Wei, Petiushko, Aleksandr, Garg, Animesh

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Self-Supervised Goal-Conditioned Pick and Place von Devin, Coline, Rowghanian, Payam, Vigorito, Chris, Richards, Will, Rohanimanesh, Khashayar

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Computerized imitation learning from visual data with multiple intentions von Rohanimanesh, Khashayar, Tamar, Aviv, Chow, Yinlam

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Automated Robotic Tool Selection von Rohanimanesh, Khashayar, Metzger, Jacob Charles, Richards, William Davidson

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CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving von Booher, Jonathan, Rohanimanesh, Khashayar, Xu, Junhong, Isenbaev, Vladislav, Balakrishna, Ashwin, Gupta, Ishan, Liu, Wei, Petiushko, Aleksandr

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Online Tool Selection with Learned Grasp Prediction Models von Rohanimanesh, Khashayar, Metzger, Jake, Richards, William, Aviv Tamar

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Uniformly Safe RL with Objective Suppression for Multi-Constraint Safety-Critical Applications von Zhou, Zihan, Booher, Jonathan, Rohanimanesh, Khashayar, Liu, Wei, Petiushko, Aleksandr, Garg, Animesh

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

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Computerized Imitation Learning from Visual Data with Multiple Intentions von Rohanimanesh, Khashayar, Tamar, Aviv, Chow, Yinlam

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Collision Detection in Legged Locomotion using Supervised Learning von Doshi, F., Brunskill, E., Shkolnik, A., Kollar, T., Rohanimanesh, K., Tedrake, R., Roy, N.

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Self-Supervised Goal-Conditioned Pick and Place von Coline Devin, Rowghanian, Payam, Vigorito, Chris, Richards, Will, Rohanimanesh, Khashayar

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REINFORCEMENT LEARNING USING A PARTITIONED INPUT STATE SPACE von KAHANE, Michael, AREL, Itamar, ROHANIMANESH, Khashayar

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REINFORCEMENT LEARNING USING A PARTITIONED INPUT STATE SPACE von Arel Itamar, Rohanimanesh Khashayar, Kahane Michael

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REINFORCEMENT LEARNING USING CONFIDENCE SCORES von KAHANE, Michael, AREL, Itamar, ROHANIMANESH, Khashayar

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

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Reinforcement learning using confidence scores von Arel Itamar, Rohanimanesh Khashayar, Kahane Michael

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Towards Feature Selection in Actor-Critic Algorithms von Rohanimanesh, Khashayar, Roy, Nicholas, Tedrake, Russ

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Hierarchical Approaches to Concurrency, Multiagency, and Partial Observability von Mahadevan, Sridhar, Ghavamzadeh, Mohammad, Rohanimanesh, Khashayar, Theocharous, Georgias

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