Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Reinforcement learning with hierar-chies of machines
Policy Improvement: Between Black-Box Optimization and Episodic Reinforcement Learning
Learning with Hierarchical-Deep Models
Reinforcement Learning with Long Short-Term Memory
Reinforcement learning in a nutshell
Reinforcement learning: The Good, The Bad and The Ugly
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
Policy Gradient Methods for Reinforcement Learning with Function Approximation
Inverse Reinforcement Learning in Large State Spaces via Function Approximation
Algorithms for Reinforcement Learning
Reinforcement Learning with Immediate Rewards and Linear Hypotheses
Abstraction and generalization in reinforcement learning: a summary and framework
Deep Reinforcement Learning that Matters
An analysis of reinforcement learning with function approximation
approximately optimal approximate reinforcement learning .
Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning
Exploring compact reinforcement-learning representations with linear regression
Reinforcement Learning with a Gaussian mixture model
A Cross Entropy based Stochastic Approximation Algorithm for Reinforcement Learning with Linear Function Approximation
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
Lactate Inhibits the Pro-Inflammatory Response and Metabolic Reprogramming in Murine Macrophages in a GPR81-Independent Manner
emotions in students ’ self - regulated learning and achievement : a program of qualitative and quantitative research .
Factors Affecting Students’ Performance in Chemistry: Case Study in Zanzibar Secondary Schools
Robust photometric alignment for asymmetric camera system
unsupervised learning of visual invariance with temporal coherence .