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Deep and Reinforcement Learning Group

The Deep and Reinforcement Learning Group at Microsoft Research Asia pushes forward the research of deep learning and reinforcement learning from both algorithmic and practical aspects. Our interests include

Deep representation learning (opens in new tab), with focus on sequence to sequence learning and applications to machine translation (opens in new tab), speech synthesis (opens in new tab) and recognition, music understanding and composition, pre-training, etc.
Deep structure learning, with focus on graph neural networks and applications to target discovery (in healthcare), protein modeling, drug design, etc.
Deep reinforcement learning, with focus on distributional RL and offline RL and applications to logistics and supply chain management, etc.
Learning to teach and AutoML (opens in new tab), transfer learning, generative models, and causal learning.