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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Constrained Variational Policy Optimization for Safe Reinforcement Learning von Liu, Zuxin, Cen, Zhepeng, Isenbaev, Vladislav, Liu, Wei, Wu, Zhiwei Steven, Li, Bo, Zhao, Ding

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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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Constrained Variational Policy Optimization for Safe Reinforcement Learning von Liu, Zuxin, Cen, Zhepeng, Isenbaev, Vladislav, Liu, Wei, Wu, Zhiwei Steven, Li, Bo, Zhao, Ding

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RUNTIME EXPANSION OF TARGETING CRITERIA BASED ON USER CHARACTERISTICS von ISENBAEV VLADISLAV, ARNOUX BORIS PIERRE, HONG SUE ANN, KIRTI RITURAJ, WU GANG

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