Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: An efficient approach to model-based hierarchical reinforcement learning
Hierarchical model-based reinforcement learning: R-max + MAXQ
Abstraction Selection in Model-based Reinforcement Learning
Heuristically-Accelerated Reinforcement Learning: A Comparative Analysis of Performance
Model-based reinforcement learning with parametrized physical models and optimism-driven exploration
Diversity-Driven Extensible Hierarchical Reinforcement Learning
A Bayesian Framework for Reinforcement Learning
Deep Reinforcement Learning: An Overview
Model-Based Reinforcement Learning via Meta-Policy Optimization
FeUdal Networks for Hierarchical Reinforcement Learning
An object-oriented representation for efficient reinforcement learning
Reinforcement Learning with a Gaussian mixture model
Using Expectation-Maximization for Reinforcement Learning
Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Deep Reinforcement Learning
State Abstraction in MAXQ Hierarchical Reinforcement Learning
Model-Based Reinforcement Learning for Atari
Active Reinforcement Learning with Monte-Carlo Tree Search
Hierarchical Solution of Markov Decision Processes using Macro-actions
Tree-based batch mode reinforcement learning
MODELLING SPEECH ACTS IN CONVERSATIONAL DISCOURSE
DeepTAM: Deep Tracking and Mapping
Sensor Made of PVDF/graphene Electrospinning Fiber and Comparison between Electrospinning PVDF Fiber and PVDF/graphene Fiber
Minimizing area and energy of deep learning hardware design using collective low precision and structured compression
Finite-time Analysis of the Multiarmed Bandit Problem