Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A tutorial on partially observable Markov decision processes
Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes
Heuristic Search Value Iteration for POMDPs
a deep hierarchical reinforcement learning algorithm in partially observable markov decision processes .
Simulation-Based Optimization of Markov Reward Processes
More Risk-Sensitive Markov Decision Processes
Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes
Symbolic heuristic search value iteration for factored POMDPs
A Parallel Algorithm for POMDP Solution
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Verification of Markov Decision Processes with Risk-Sensitive Measures
An Analysis of Model-Based Interval Estimation for Markov Decision Processes
A unified view of entropy-regularized Markov decision processes
Anytime Point-Based Approximations for Large POMDPs
Monte-Carlo Planning in Large POMDPs
Partially Observable Markov Decision Process for Recommender Systems
Free-energy-based reinforcement learning in a partially observable environment
Probabilistic Differential Dynamic Programming
Learning to act using real-time dynamic programming
Risk-Sensitive Optimal Control for Markov Decision Processes with Monotone Cost
The Exploration-Exploitation Tradeoff in Sequential Decision Making Problems
DIZK: A Distributed Zero Knowledge Proof System.
Agent-Based Computational Economics
Approximating Optimal Policies for Partially Observable Stochastic Domains
Hot-carrier behaviour and ron-BV trade-off optimization for p-channel LDMOS transistors in a 180 nm HV-CMOS technology
DeepFi: Deep learning for indoor fingerprinting using channel state information