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MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
Manage episode 281099820 series 2355587
Today we close out our NeurIPS series joined by Aravind Rajeswaran, a PhD Student in machine learning and robotics at the University of Washington.
At NeurIPS, Aravind presented his paper MOReL: Model-Based Offline Reinforcement Learning. In our conversation, we explore model-based reinforcement learning, and if models are a “prerequisite” to achieve something analogous to transfer learning. We also dig into MOReL and the recent progress in offline reinforcement learning, the differences in developing MOReL models and traditional RL models, and the theoretical results they’re seeing from this research.
The complete show notes for this episode can be found at twimlai.com/go/442
700集单集
MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Manage episode 281099820 series 2355587
Today we close out our NeurIPS series joined by Aravind Rajeswaran, a PhD Student in machine learning and robotics at the University of Washington.
At NeurIPS, Aravind presented his paper MOReL: Model-Based Offline Reinforcement Learning. In our conversation, we explore model-based reinforcement learning, and if models are a “prerequisite” to achieve something analogous to transfer learning. We also dig into MOReL and the recent progress in offline reinforcement learning, the differences in developing MOReL models and traditional RL models, and the theoretical results they’re seeing from this research.
The complete show notes for this episode can be found at twimlai.com/go/442
700集单集
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