Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Intrinsically motivated neuroevolution for vision-based reinforcement learning
Neuroevolution: from architectures to learning
A Neuroevolution Approach to General Atari Game Playing
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world
Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks
scalable deep reinforcement learning for vision - based robotic manipulation .
Proto-value functions: developmental reinforcement learning
Reinforcement learning in a nutshell
Self-Motivated, Task-Independent Reinforcement Learning for Robots
Policy Improvement: Between Black-Box Optimization and Episodic Reinforcement Learning
An object-oriented representation for efficient reinforcement learning
Visual Attention Guided Deep Imitation Learning
Neural Networks and Neuroscience-Inspired Computer Vision
Neuroevolutionary reinforcement learning for generalized control of simulated helicopters
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Deep Reinforcement Learning Discovers Internal Models
NeuroEvolution : The Importance of Transfer Function Evolution and Heterogeneous Networks
Enhancing metacognitive reinforcement learning using reward structures and feedback.
Maximum Entropy Deep Inverse Reinforcement Learning
Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective
Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach
learning representations by back - propagating errors .
Estimation of step-by-step spatio-temporal parameters of normal and impaired gait using shank-mounted magneto-inertial sensors: application to elderly, hemiparetic, parkinsonian and choreic gait
Debugging Machine Learning Models
Digital reading: An overview