Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Continuous Deep Q-Learning with Model-based Acceleration
M ULTI-TASK LEARNING WITH DEEP MODEL BASED REINFORCEMENT LEARNING
Off-Policy Deep Reinforcement Learning without Exploration
Efficient Parallel Methods for Deep Reinforcement Learning
10 Steps and Some Tricks to Set up Neural Reinforcement Controllers
Hierarchical model-based reinforcement learning: R-max + MAXQ
States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning
Efficient Reinforcement Learning Through Evolving Neural Network Topologies
Biologically Plausible Multi-Dimensional Reinforcement Learning in Neural Networks
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Learning state representation for deep actor-critic control
Model-based reinforcement learning with parametrized physical models and optimism-driven exploration
Reinforcement Learning with Long Short-Term Memory
Deep Exploration via Bootstrapped DQN
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-Based Reinforcement Learning for Atari
A Generalized Reinforcement-Learning Model: Convergence and Applications
Massively Parallel Methods for Deep Reinforcement Learning
Inverse Reinforcement Learning through policy gradient minimization
algorithmic framework for model - based reinforcement learning with theoretical guarantees .
A study of translation edit rate with targeted human annotation
Dense Reconstruction Using 3D Object Shape Priors
Validation of the Five-Factor Model of Personality Across Instruments and Observers
Trust Region Policy Optimization
Collision avoidance of unmanned ships based on artificial potential field