Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Bayesian Nonparametric Inverse Reinforcement Learning for Switched Markov Decision Processes
MAP Inference for Bayesian Inverse Reinforcement Learning
Active Reinforcement Learning : Observing Rewards at a Cost
appendix of : inverse reinforcement learning via deep gaussian process .
Configurable Markov Decision Processes
bayesian policy gradient and actor - critic algorithms .
Perseus: Randomized Point-based Value Iteration for POMDPs
Using Expectation-Maximization for Reinforcement Learning
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
Map Matching with Inverse Reinforcement Learning
Sample-efficient Policy Optimization with Stein Control Variate
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Transfer in Reinforcement Learning: a Framework and a Survey
Linear Bayes Policy for Learning in Contextual-Bandits
A Bayesian Approach for Policy Learning from Trajectory Preference Queries
A generalized path integral control approach to reinforcement learning
Mean-Variance Optimization in Markov Decision Processes
Non-Deterministic Policies in Markovian Decision Processes
Dual Control for Approximate Bayesian Reinforcement Learning Dual Control for Approximate Bayesian Reinforcement Learning
A review of inverse reinforcement learning theory and recent advances
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
Down to the bare metal: using processor features for binary analysis
Detection of Websites Based on PhishingWebsites Characteristics
Learning agents for uncertain environments (extended abstract)
Understanding latent interactions in online social networks
A declarative approach for flexible business processes management