Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Online Off-policy Prediction
Off-policy temporal-difference learning with function approximation
Policy Optimization with Model-based Explorations
Parallel Reinforcement Learning with Linear Function Approximation
bayesian policy gradient and actor - critic algorithms .
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Value-Function Approximations for Partially Observable Markov Decision Processes
An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories
Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces.
A K-fold Method for Baseline Estimation in Policy Gradient Algorithms
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Model-free preference-based reinforcement learning
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Closing the learning-planning loop with predictive state representations
Using Expectation-Maximization for Reinforcement Learning
Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning
Interactive Learning for Sequential Decisions and Predictions
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Inverse reinforcement learning with leveraged Gaussian processes
Combining policy gradient and Q-learning
Observational Learning by Reinforcement Learning
A fast vein display device based on the camera-projector system
The benefits of a challenge: student motivation and flow experience in tablet-PC-game-based learning
A Mutation Carol: Past, Present and Future
Improving Elevator Performance Using Reinforcement Learning
Exact Model Counting of Query Expressions: Limitations of Propositional Methods