Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Average reward reinforcement learning: Foundations, algorithms, and empirical results
Bridging the Gap Between Value and Policy Based Reinforcement Learning
A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes
Variational Bayesian Reinforcement Learning with Regret Bounds
Reinforcement Learning Without Rewards
Optimistic linear programming gives logarithmic regret for irreducible MDPs
Active Reward Learning
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces
Symbolic Dynamic Programming for Discrete and Continuous State MDPs
A Distributional Perspective on Reinforcement Learning
On-Policy vs. Off-Policy Updates for Deep Reinforcement Learning
Risk-Sensitive Reinforcement Learning
approximately optimal approximate reinforcement learning .
Improving Policy Gradient by Exploring Under-appreciated Rewards
Heuristically-Accelerated Reinforcement Learning: A Comparative Analysis of Performance
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Deep Reinforcement Learning: An Overview
Reinforcement Learning and Markov Decision Processes
Inverse Reinforcement Learning through policy gradient minimization
Contextual Bandits with Linear Payoff Functions
Genetic Improvement of Software: A Comprehensive Survey
The Relationship between Learning Style, Test Anxiety and Academic Achievement.
Reinforcement learning for robots using neural networks
Shared Services Strategies and Their Determinants: A Multiple Case Study Analysis in the Public Sector
The lateral occipital complex and its role in object recognition