Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Learning to Draw Dynamic Agent Goals with Generative Adversarial Networks
Generative Adversarial Imitation Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Imitating driver behavior with generative adversarial networks
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals
Learning Latent Dynamics for Planning from Pixels
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
IDEA: Planning at the Core of Autonomous Reactive Agents
Generative Multi-Agent Behavioral Cloning
Multi-agent Diverse Generative Adversarial Networks
Learning to act using real-time dynamic programming
Evolving Neural Network Agents in the NERO Video Game
Learning to Teach Reinforcement Learning Agents
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
The Arcade Learning Environment: An Evaluation Platform for General Agents
Structured Generative Adversarial Networks
Representation and generalization in autonomous reinforcement learning
rgbd image segmentation using deep edge .
Pattern recognition and machine learning
Perspectives and results on the stability and stabilizability of hybrid systems
BadLink: Combining Graph and Information-Theoretical Features for Online Fraud Group Detection
Extending electronic sourcing theory: An exploratory study of electronic reverse auction outcomes