Tom Schaul

reinforcement learning (5) value function (3) deep reinforcement learning (2) policy gradient (2) sparse reward (2) transfer learning (2) policy improvement (2) successor feature (2) neural network architecture (2) black-box optimization (1) deep learning (1) supervised learning (1) neural network optimization (1) hierarchical reinforcement learning (1) policy optimization (1) epistemic uncertainty (1) gradient descent (1) function approximation (1) bellman equation (1) importance sampling (1)