Rui Kong

Machine Learning (8) Artificial Intelligence (5) Core AI (5) Learning Types (4) Deep Learning (3) Reinforcement Learning (3) Application Areas (3) Methods (3) Optimization & Theory · Machine Learning (3) Natural Language Processing (1) Architectures (1) Optimization & Theory · Deep Learning (1) Resources & Methods (1) Techniques (1)

policy optimization (3) offline reinforcement learning (2) action selection (2) reinforcement learning (1) value function (1) policy gradient (1) question answering (1) data augmentation (1) action-value function (1) dynamic routing (1) partially observable markov decision process (1) dynamic programming (1) online planning (1) value iteration (1) preference alignment (1) continual learning (1) policy improvement (1) kernel optimization (1) sequence modeling (1) model compression (1)