Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Combinatorial Multi-armed Bandits for Real-Time Strategy Games
Hierarchical adversarial search applied to Real-Time Strategy games
Max K-armed bandit: On the ExtremeHunter algorithm and beyond
Use of variance estimation in the multi-armed bandit problem
Applying reinforcement learning to small scale combat in the real-time strategy game StarCraft:Broodwar
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits
A Review of Real-Time Strategy Game AI
Algorithms for computing strategies in two-player simultaneous move games
Finding Optimal Strategies in a Multi-Period Multi-Leader-Follower Stackelberg Game Using an Evolutionary Algorithm
Contextual Dueling Bandits
Combinatorial Network Optimization With Unknown Variables: Multi-Armed Bandits With Linear Rewards and Individual Observations
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
real - time strategy games : a new ai research challenge .
Distributed Learning in Multi-Armed Bandit with Multiple Players
Contextual Bandits with Linear Payoff Functions
Approximation Algorithms for Bayesian Multi-Armed Bandit Problems
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem
Global Multi-armed Bandits with Holder Continuity
Matroid Bandits: Fast Combinatorial Optimization with Learning
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
action elimination and stopping conditions for the multi - armed bandit and reinforcement learning problems .
Clustering For Demand Response A Theory to Break the ‘ Curse of Dimensionality ’
Functional Programming with Bananas, Lenses, Envelopes and Barbed Wire
Matching User Photos to Online Products with Robust Deep Features
PRO-ORAM: Constant Latency Read-Only Oblivious RAM.