Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: AEMS: An Anytime Online Search Algorithm for Approximate Policy Refinement in Large POMDPs
Perseus: Randomized Point-based Value Iteration for POMDPs
Relative Entropy Policy Search
Learning Beam Search Policies via Imitation Learning
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning
Acting Optimally in Partially Observable Stochastic Domains
Planning and Acting in Partially Observable Stochastic Domains
Variational Inference for Data-Efficient Model Learning in POMDPs
PGQ: Combining policy gradient and Q-learning
Continuous-action reinforcement learning with fast policy search and adaptive basis function selection
Parametric POMDPs for planning in continuous state spaces
{Toward Minimax Off-policy Value Estimation}
Automatic basis function construction for approximate dynamic programming and reinforcement learning
Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning
Reinforcement Learning with Particle Swarm Optimization Policy (PSO-P) in Continuous State and Action Spaces
Fast Approximate Max-n Monte Carlo Tree Search for Ms Pac-Man
Gradient-free Policy Architecture Search and Adaptation
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes
A POMDP formulation of Proactive Learning
Efficient Exploration Through Bayesian Deep Q-Networks
Applying One-Versus-One SVMs to classify multi-label data with large labels using spark
Acoustic modelling for speech recognition in Indian languages in an agricultural commodities task domain
Value-Function Approximations for Partially Observable Markov Decision Processes
Fast iterative graph computation: a path centric approach
The effect of low humidity on the human tear film