Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Evolutionary Function Approximation for Reinforcement Learning
Policy Gradient Methods for Reinforcement Learning with Function Approximation
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Proto-value functions: developmental reinforcement learning
NeuroEvolution : The Importance of Transfer Function Evolution and Heterogeneous Networks
Policy Improvement: Between Black-Box Optimization and Episodic Reinforcement Learning
Value-Function Approximations for Partially Observable Markov Decision Processes
Nonparametric bayesian inverse reinforcement learning for multiple reward functions
Maximum Entropy Deep Inverse Reinforcement Learning
Evolutionary artificial neural networks: a review
The o.d.e. method for convergence of stochastic approximation and reinforcement learning
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
Variational methods for Reinforcement Learning
Adaptive ε-greedy exploration in reinforcement learning based on value differences
Accelerated Methods for Deep Reinforcement Learning
A Neuroevolution Approach to General Atari Game Playing
functions that emerge through end - to - end reinforcement learning .
Algorithms and Representations for Reinforcement Learning
Neuroevolution: from architectures to learning
Reinforcement Learning with Long Short-Term Memory
An Evolutionary Algorithm that Constructs Recurrent Neural Networks
Frequency of Malnutrition in Older Adults: A Multinational Perspective Using the Mini Nutritional Assessment
Automatic failure recovery for software-defined networks
Designing Neural Networks Using Genetic Algorithms with Graph Generation System.
Multilevel Converters: An Enabling Technology for High-Power Applications
Frustratingly Easy Domain Adaptation