Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Inverse reinforcement learning from summary data
Bayesian multitask inverse reinforcement learning
Representation and generalization in autonomous reinforcement learning
Towards Generalization and Efficiency of Reinforcement Learning
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
Learning from Demonstrations: Is It Worth Estimating a Reward Function?
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards.
A generalized path integral control approach to reinforcement learning
A Bayesian Framework for Reinforcement Learning
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Deep Reinforcement Learning Discovers Internal Models
Apprenticeship learning via inverse reinforcement learning
Batch Reinforcement Learning
Exploration in model-based reinforcement learning by empirically estimating learning progress
Combining deep reinforcement learning with prior knowledge and reasoning
Intrinsically Motivated Reinforcement Learning
Using Advice in Model-Based Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Discovering latent causes in reinforcement learning
Motivated Reinforcement Learning
Reinforcement Learning: An Introduction
A comparative study of optimally designed V-shaped magnet IPM synchronous motors
Acquired neurocutaneous disorders.
Event detection from time series data
HLA-G and HLA-E Gene Polymorphism in Patients with Idiopathic Recurrent Pregnancy Loss in Gaza strip