Daniel Jiang

reinforcement learning (4) bayesian optimization (3) deep reinforcement learning (2) expected improvement (2) acquisition function (2) policy learning (2) gaussian process (2) policy optimization (2) statistical inference (1) markov decision process (1) false discovery rate (1) sample complexity (1) value function (1) adversarial robustness (1) stochastic approximation (1) optimal value (1) variance reduction (1) partial observability (1) action value (1) visual question answering (1)