Simon Schmitt

Machine Learning (6) Reinforcement Learning (6) Methods (6) Learning Types · Machine Learning (5) Artificial Intelligence (4) Applications (4) Core AI (4) Optimization & Theory (3) Deep Learning (2) Learning Types · Deep Learning (2) Bayesian & Probabilistic (1) Core Methods (1)

reinforcement learning (5) off-policy learning (2) model-based reinforcement learning (2) policy optimization (2) epistemic uncertainty (2) policy iteration (2) continuous control (2) policy learning (1) online learning (1) catastrophic forgetting (1) uncertainty quantification (1) model-based learning (1) function approximation (1) deep learning (1) multi-task learning (1) value function (1) importance sampling (1) policy gradient (1) value iteration (1) posterior distribution (1)