Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Reinforcement Learning in Large Discrete Action Spaces
Deep Reinforcement Learning with an Unbounded Action Space
Reinforcement learning in a nutshell
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning
Algorithms and Representations for Reinforcement Learning
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space
Algorithms for Reinforcement Learning
Active Reinforcement Learning with Monte-Carlo Tree Search
Reinforcement Learning with Long Short-Term Memory
Reinforcement Learning: An Introduction
A Survey of Exploration Strategies in Reinforcement Learning
Deep Imitation Learning for Parameterized Action Spaces
Learning to act using real-time dynamic programming
Policy Search in Continuous Action Domains: an Overview
Universal Reinforcement Learning Algorithms: Survey and Experiments
Roles of Macro-Actions in Accelerating Reinforcement Learning
DEEP REINFORCEMENT LEARNING IN PARAMETER- IZED ACTION SPACE
Multi-Task Deep Reinforcement Learning for Continuous Action Control
Accelerated Methods for Deep Reinforcement Learning
Deep Reinforcement Learning with Double Q-learning
a reinforcement learning method for maximizing undiscounted rewards .
Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN
Matroid Bandits: Fast Combinatorial Optimization with Learning
Improved single image dehazing using guided filter
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
sting an endoplasmic reticulum adaptor that facilitates innate immune signaling .