Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Monte-Carlo Planning in Large POMDPs
Anytime Point-Based Approximations for Large POMDPs
An investigation of model-free planning
RFF: A Robust, FF-Based MDP Planning Algorithm for Generating Policies with Low Probability of Failure
Active Reinforcement Learning with Monte-Carlo Tree Search
Rollout Sampling Policy Iteration for Decentralized POMDPs
Planning and Acting in Partially Observable Stochastic Domains
Learning is planning: near Bayes-optimal reinforcement learning via Monte-Carlo tree search
Scaling up POMDPs for Dialog Management: The ``Summary POMDP'' Method
FF-Replan: A baseline for probabilistic planning
MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs
Solving Very Large Weakly Coupled Markov Decision Processes
Integrating Sample-based Planning and Model-based Reinforcement Learning
Between MDPs and Semi-MDPs: Learning, Planning, and Representing Knowledge at Multiple Temporal Scales
Solving POMDPs with Levin Search and EIRA
QMDP-Net: Deep Learning for Planning under Partial Observability
The infinite partially observable Markov decision process
a bayesian approach for learning and planning in partially observable markov decision processes .
Variational Inference for Data-Efficient Model Learning in POMDPs
Simulation-Based Algorithms for Markov Decision Processes
Networked Distributed POMDPs: A Synergy of Distributed Constraint Optimization and POMDPs
Tractable Inference for Complex Stochastic Processes
Small-molecule inhibitors of protein–protein interactions: progressing towards the dream
Afraid of Delivering at the Hospital or Afraid of Delivering at Home: A Qualitative Study of Thai Hmong Families’ Decision-Making About Maternity Services
Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning
Short motif sequences determine the targets of the prokaryotic CRISPR defence system.