Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Bayesian Hierarchical Reinforcement Learning
Bayesian Multi-Task Reinforcement Learning
Recurrent Reinforcement Learning: A Hybrid Approach
A Distributional Perspective on Reinforcement Learning
Hierarchical Imitation and Reinforcement Learning
Hierarchical Policy Gradient Algorithms
Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies
Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay
Deep Reinforcement Learning: An Overview
Towards autonomous reinforcement learning: Automatic setting of hyper-parameters using Bayesian optimization
Maximum entropy inverse reinforcement learning
Latent Space Policies for Hierarchical Reinforcement Learning
Reinforcement Learning with a Gaussian mixture model
Batch Reinforcement Learning
Model-based hierarchical reinforcement learning and human action control
Reinforcement learning in a nutshell
bayesian policy gradient and actor - critic algorithms .
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Discovering Hierarchy in Reinforcement Learning with HEXQ
Semiparametric Reinforcement Learning
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Memory Management Support for Multi-Programmed Remote Direct Memory Access (RDMA) Systems
The mystery machine: end-to-end performance analysis of large-scale internet services
The Neurovascular Link in Health and Disease: Molecular Mechanisms and Therapeutic Implications
SMSCrypto: A lightweight cryptographic framework for secure SMS transmission
Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms