Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Multi-Objective Deep Q-Learning with Subsumption Architecture
Multi-Objective Deep Reinforcement Learning
Action Branching Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Applying Q ( λ )-learning in Deep Reinforcement Learning to Play Atari Games
Double Q-learning
Efficient Exploration Through Bayesian Deep Q-Networks
A Human Mixed Strategy Approach to Deep Reinforcement Learning
Exploration-Exploitation Trade-off in Deep Reinforcement Learning
Deep Recurrent Q-Learning for Partially Observable MDPs
Faster Deep Q-Learning Using Neural Episodic Control
Natural Gradient Deep Q-learning
A Brief Survey of Deep Reinforcement Learning
Using Deep Q-Learning to Control Optimization Hyperparameters
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Deep Q-learning from Demonstrations
Learning model-based strategies in simple environments with hierarchical q-networks
Active deep Q-learning with demonstration
Deep Reinforcement Learning: An Overview
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
Deep Reinforcement Learning
Current Status, Issues, and Future of Bring Your Own Device (BYOD)
The neuroscience of consumer choice
Combining metaheuristics with mathematical programming, constraint programming and machine learning
A novel series-fed taper antenna array design and analysis
Evolutionary Algorithms for Solving Multi-Objective Problems