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--></style></head><body bgcolor=white lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal><span style='font-size:11.0pt'>Hi Adapters,<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>Our weekly seminar will take place at 4:30 pm tomorrow, in SEIEE 3-404 as usual.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>This time, I will give you a talk about Reinforcement Learning (RL). Unlike supervised/unsupervised learning, reinforcement learning allows the agent to learn its behavior based on feedback from the environment. Some of you may ran into reinforcement learning in textbooks or articles before. You may have known what is going on with reinforcement learning but don’t know much about the details. So, let me show you the detail of reinforcement learning, its core model and its general solutions by some interesting running examples.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>This talk is very easy to follow. Hope you can enjoy it!<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><div><p class=MsoNormal><span style='font-size:10.5pt;color:black'>Best,<o:p></o:p></span></p></div><div><p class=MsoNormal><span style='font-size:10.5pt;color:black'>Xusheng Luo<o:p></o:p></span></p></div><div><p class=MsoNormal><span style='font-size:10.5pt;color:black'><o:p> </o:p></span></p></div><div><p class=MsoNormal><span style='font-size:10.5pt;color:black'>ADAPT Lab, SEIEE 3-341<o:p></o:p></span></p></div><div><p class=MsoNormal><span style='font-size:10.5pt;color:black'>Dept. of Computer Science & Engineering<o:p></o:p></span></p></div><div><p class=MsoNormal><span style='font-size:10.5pt;color:black'>Shanghai JiaoTong University<o:p></o:p></span></p></div><div><p class=MsoNormal><span style='font-size:10.5pt;color:black'>800 Dongchuan Road, Shanghai, China<o:p></o:p></span></p></div><div><p class=MsoNormal><span style='font-size:10.5pt;color:black'>Tel: (+86) 18516156174<o:p></o:p></span></p></div><p class=MsoNormal><o:p> </o:p></p></div></body></html>