Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Planning by Incremental Dynamic Programming
Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming
Adding local exploration to greedy best-first search in satisficing planning
Experimental study on population-based incremental learning algorithms for dynamic optimization problems
Adapting a Rapidly-Exploring Random Tree for Automated Planning
A heuristic approach to planning with incomplete STRIPS action models
Hierarchical monte-carlo planning
Capacitated Dynamic Programming: Faster Knapsack and Graph Algorithms
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An Introduction to Least Commitment Planning
Planning With Agents : An Efficient Approach Using Hierarchical Dynamic Decision Networks
The Focussed D* Algorithm for Real-Time Replanning
An investigation into reactive planning in complex domains
Incremental quantitative verification for Markov decision processes
A Reinforcement Learning Approach to the View Planning Problem
Admissible Heuristics for Automated Planning
Multi-agent planning: An introduction to planning and coordination
The FF Planning System: Fast Plan Generation Through Heuristic Search
Learning and Tuning Meta-heuristics in Plan Space Planning
A Reactive Planner for a Model-based Executive
Sparse dynamic programming I: linear cost functions
A Formal BasisfortheHeuristic Determination of Minimum CostPaths
3D point cloud segmentation: A survey
A bandwidth-efficient architecture for media processing
Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis
Superstructure optimization of biodiesel production from microalgal biomass