Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Applying and Improving Monte-Carlo Tree Search in a Fighting Game AI
The grand challenge of computer Go: Monte Carlo tree search and extensions
Monte-Carlo Tree Search in Settlers of Catan
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation
State-of-the-Art and Open Challenges in RTS Game-AI and Starcraft
Automatic Learning of Combat Models for RTS Games
Script- and cluster-based UCT for StarCraft
Structured Parallel Programming for Monte Carlo Tree Search
Monte Carlo tree search in continuous action spaces with execution uncertainty
Mastering the game of Go with deep neural networks and tree search
Monte-Carlo Tree Search for Simulated Car Racing
Fast Approximate Max-n Monte Carlo Tree Search for Ms Pac-Man
Fighting game artificial intelligence competition platform
Playing Go without Game Tree Search Using Convolutional Neural Networks
Hierarchical Macro Strategy Model for MOBA Game AI
Discovering Combos in Fighting Games with Evolutionary Algorithms
Game AI revisited
The History Heuristic and Alpha-Beta Search Enhancements in Practice
Deduction of fighting game countermeasures using Neuroevolution of Augmenting Topologies
Multi-player alpha-beta pruning
Recursive Monte Carlo Search for Imperfect Information Games
Atypical Cogan's Syndrome
Progressive Neural Networks for Image Classification
Dynamic trot-walking with the hydraulic quadruped robot — HyQ: Analytical trajectory generation and active compliance control
Autopsy case of amebic granulomatous meningoencephalitis caused by Balamuthia mandrillaris in Japan
Bandit Based Monte-Carlo Planning