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机译:通过逆向强化学习和贝叶斯政策改进,结合非最佳演示和反馈中的学习
Machine Learning and Computational Modeling Laboratory, School of ECE, College of Engineering, University of Tehran;
Cognitive Systems Laboratory, School of ECE, College of Engineering, University of Tehran;
Machine Learning and Computational Modeling Laboratory, School of ECE, College of Engineering, University of Tehran;
Cognitive Systems Laboratory, School of ECE, College of Engineering, University of Tehran;
Teaching by demonstrations; Inverse reinforcement learning; Interactive learning; Human evaluative feedbacks;
机译:基于示范和反馈的贝叶斯逆钢筋改进
机译:从演示和人类评估反馈中学习:使用反增强学习方法处理稀疏性和缺陷
机译:从演示和人类评估反馈中学习:使用逆强化学习方法处理稀疏性和缺陷
机译:通过贝叶斯逆钢筋学习,学习虚拟掌握失败的示威活动
机译:用于学习双模对话策略的最大最大逆钢筋学习
机译:利用等级强化学习的多意图对话的情感对话策略学习
机译:从纵向表演中学习 - 贸易的深层建模符合逆钢筋学习