Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Learning with Options that Terminate Off-Policy
Theoretical Results on Reinforcement Learning with Temporally Abstract Options
Learning to act using real-time dynamic programming
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Expected Policy Gradients for Reinforcement Learning
Learning Policies for Partially Observable Environments: Scaling Up
Practical Issues in Temporal Difference Learning
RAIL: Risk-Averse Imitation Learning
Learning from delayed rewards
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
Deep predictive policy training using reinforcement learning
Regret Minimization for Partially Observable Deep Reinforcement Learning
A Unified Analysis of Value-Function-Based Reinforcement-Learning Algorithms
A Theory of Goal-Oriented MDPs with Dead Ends
The infinite partially observable Markov decision process
Learning is planning: near Bayes-optimal reinforcement learning via Monte-Carlo tree search
An Introduction to Temporal Difference Learning
Off-Policy Shaping Ensembles in Reinforcement Learning
Double Deep Q-Learning for Optimal Execution
Discretizing Continuous Action Space for On-Policy Optimization
Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes
PropBank: Semantics of New Predicate Types
Fuzzy Techniques for Image Enhancement
The Role of Expressive Writing in Math Anxiety
Functional structure identification of scientific documents in computer science
{Toward Minimax Off-policy Value Estimation}