Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
Bayesian Q-Learning
Bayesian Reinforcement Learning in Factored POMDPs
Learning to Predict by the Methods of Temporal Differences
Temporal Abstraction in Temporal-difference Networks
Bayesian Nonparametric Inverse Reinforcement Learning
Truncating Temporal Differences: On the Efficient Implementation of TD(lambda) for Reinforcement Learning
Reinforcement Learning and Markov Decision Processes
Transfer learning via inter-task mappings for temporal difference learning
Contextual Gaussian Process Bandit Optimization
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
Bayesian Inverse Reinforcement Learning
Bayesian Nonparametric Inverse Reinforcement Learning for Switched Markov Decision Processes
Off-policy temporal-difference learning with function approximation
Learning to act using real-time dynamic programming
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Variational Bayesian Reinforcement Learning with Regret Bounds
Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
Principled Option Learning in Markov Decision Processes
Theoretical Results on Reinforcement Learning with Temporally Abstract Options
Inflection points in sepsis biology: from local defense to systemic organ injury
Reliability and validity of the Functional Assessment of Cancer Therapy-Colorectal (FACT-C) quality of life instrument
Using Runtime Measured Workload Characteristics in Parallel Processor Scheduling
Reinforcement Learning: A Survey
Computational power of neural networks: a characterization in terms of kolmogorov complexity