Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: a bayesian approach for learning and planning in partially observable markov decision processes .
The infinite partially observable Markov decision process
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces
Model-Based Planning in Discrete Action Spaces
QMDP-Net: Deep Learning for Planning under Partial Observability
Faster dynamic programming for Markov decision processes
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
Heuristic Search Value Iteration for POMDPs
POMDP Solution Methods
Markov Decision Processes: Discrete Stochastic Dynamic Programming (Martin L. Puterman)
Optimal and Approximate Stochastic Planning using Decision Diagrams
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making
Symbolic heuristic search value iteration for factored POMDPs
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Hierarchical Linearly-Solvable Markov Decision Problems
A Parallel Algorithm for POMDP Solution
A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes
Efficient Exploration Through Bayesian Deep Q-Networks
Solving POMDPs with Levin Search and EIRA
Bayesian Nonparametric Inverse Reinforcement Learning
Online Planning Algorithms for POMDPs
Significance of nonaromatic organic acids in honey.
Monopole antennas
IMPACT OF SOLVENT EXTRACTION TYPE ON TOTAL POLYPHENOLS CONTENT AND BIOLOGICAL ACTIVITY FROM TAMARIX APHYLLA (L.) KARST
Reflectance scanning: estimating shading frame and BRDF with generalized linear light sources