Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Gradient-based inverse risk-sensitive reinforcement learning
Risk-Sensitive Inverse Reinforcement Learning via Gradient Methods
RAIL: Risk-Averse Imitation Learning
Inverse Reinforcement Learning through policy gradient minimization
Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning.
Hierarchical Bayesian Inverse Reinforcement Learning
Bayesian Nonparametric Inverse Reinforcement Learning
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
Expected Policy Gradients for Reinforcement Learning
Maximum Entropy Deep Inverse Reinforcement Learning
Relative Entropy Inverse Reinforcement Learning
Multi-task Maximum Entropy Inverse Reinforcement Learning
Active learning for reward estimation in inverse reinforcement learning
Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods
Maximum entropy inverse reinforcement learning
Neuroevolution-based Inverse Reinforcement Learning
More Risk-Sensitive Markov Decision Processes
Model-Free Deep Inverse Reinforcement Learning by Logistic Regression
Meta-Gradient Reinforcement Learning
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Improving Policy Gradient by Exploring Under-appreciated Rewards
Bin Ratio-Based Histogram Distances and their Application to Image Classification
Interactive whiteboards: Real beauty or just lipstick?
Judgment under Uncertainty: Heuristics and Biases
Abstract Features in Feature Modeling
K-Tracer: A System for Extracting Kernel Malware Behavior