微软研究院博客
| Neil Dalchau
Dynamical systems theory provides a mathematical framework for studying how complex systems evolve over time, such as the neurons in our brains, the global climate system, or engineered cells. But predicting how these systems will behave in the future or…
| Xu Tan
Editor’s note: Since 2018, pre-training has without a doubt become one of the hottest research topics in Natural Language Processing (NLP). By leveraging generalized language models like the BERT, GPT and XLNet, great breakthroughs have been achieved in natural language…
| Romain Laroche
Reinforcement Learning (RL), much like scaling a 3,000-foot rock face, is about learning to make sequential decisions. The list of potential RL applications is expansive, spanning robotics (drone control), dialogue systems (personal assistants, automated call centers), the game industry (non-player…
| Akshay Krishnamurthy
Reinforcement learning, a machine learning paradigm for sequential decision making, has stormed into the limelight, receiving tremendous attention from both researchers and practitioners. When combined with deep learning, reinforcement learning (RL) has produced impressive empirical results, but the successes to…