Chaoqi Wang

Machine Learning (11) Optimization & Theory (7) Learning Types (6) Artificial Intelligence (4) Core AI (4) Reinforcement Learning (3) Methods (3) Deep Learning (2) Application Areas (1) Architectures (1) Bayesian & Probabilistic · Machine Learning (1) Bayesian & Probabilistic · Artificial Intelligence (1) Core Methods (1) Techniques (1)

gaussian process (2) neural network (2) active learning (2) policy optimization (2) model-based reinforcement learning (2) imitation learning (1) online learning (1) contrastive learning (1) direct preference optimization (1) gaussian processes (1) policy learning (1) network pruning (1) posterior sampling (1) kernel learning (1) offline reinforcement learning (1) exploration exploitation (1) reinforcement learning from human feedback (1) bayesian inference (1) policy improvement (1) sample efficiency (1)