Algorithms
Developing efficient algorithms that power faster, smarter, and more reliable computing across diverse applications.
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Policy Optimization as Predictable Online Learning Problems: Imitation Learning and Beyond
Efficient policy optimization is fundamental to solving real-world reinforcement learning problems, where agent-environment interactions can be costly. In this talk, I will discuss my recent research toward improving policy optimization efficiency from the perspective of…
视频
Reinforcement Learning: Bringing Together Computation, Behavior and Neural Coding
Reinforcement learning carries subtly different meanings in machine learning, cognitive science and neuroscience. In this talk, I will try to clarify in which ways the concepts overlap and in which ways they differ. I will…
