Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Learning deep neural network policies with continuous memory states
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
Combining policy gradient and Q-learning
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning
Equivalence Between Policy Gradients and Soft Q-Learning
Policy Gradient Methods for Reinforcement Learning with Function Approximation
Using Deep Q-Learning to Control Optimization Hyperparameters
Non-delusional Q-learning and value-iteration
AC2: A Policy Gradient Actor with Primary and Secondary Critics
Deep Recurrent Q-Learning for Partially Observable MDPs
Neural Map: Structured Memory for Deep Reinforcement Learning
Deep Reinforcement Learning in Large Discrete Action Spaces
Deep Abstract Q-Networks
AMBER: Adaptive Multi-Batch Experience Replay for Continuous Action Control
A Brief Survey of Deep Reinforcement Learning
Infinite-Horizon Policy-Gradient Estimation
Inverse Reinforcement Learning in Large State Spaces via Function Approximation
A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients
Deep Exploration via Bootstrapped DQN
Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay
Relative Entropy Policy Search
Multiple Structure-View Learning for Graph Classification
sequence and organization of the human mitochondrial genome .
Segmentation-by-detection: A cascade network for volumetric medical image segmentation
Progress in human tumour immunology and immunotherapy.