Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models
Maximum entropy inverse reinforcement learning
Adversarial Imitation via Variational Inverse Reinforcement Learning
Semiparametric Reinforcement Learning
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Observational Learning by Reinforcement Learning
Minimax Regret Bounds for Reinforcement Learning
Intrinsically Motivated Reinforcement Learning
Loss Aversion in Riskless Choice: A Reference-Dependent Model
MAP Inference for Bayesian Inverse Reinforcement Learning
Virtuously Safe Reinforcement Learning
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces
Inverse Reward Design
bayesian nonparametric feature construction for inverse reinforcement learning .
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
Lipschitz Continuity in Model-based Reinforcement Learning
Hierarchical model-based reinforcement learning: R-max + MAXQ
The Beta Policy for Continuous Control Reinforcement Learning
algorithmic framework for model - based reinforcement learning with theoretical guarantees .
A Bayesian Framework for Reinforcement Learning
Reinforcement Learning and Markov Decision Processes
ultra - wide bandwidth time - hopping spread - spectrum impulse radio for wireless multiple - access communications .
Improved Pattern Learning for Bootstrapped Entity Extraction
Ultra-Stable Very-Low Phase-Noise Signal Source for Very Long Baseline Interferometry Using a Cryocooled Sapphire Oscillator
Lattice Point Enumeration on Block Reduced Bases
Maximum margin planning