[PDF] Top 20 Human like Natural Language Generation Using Monte Carlo Tree Search
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Human like Natural Language Generation Using Monte Carlo Tree Search
... sentence generation using an MCTS ...approach using a neu- ral language model (Bengio et ...realization using a simple cross-entropy training criterion and easily achieve ... See full document
8
Monte Carlo tree search strategies
... Go, Monte Carlo tree search (MCTS) methods have initiated almost a revolution in game-playing agents: the artificial intelligence (AI) community has since developed an enormous amount of MCTS ... See full document
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Traditional Wisdom and Monte Carlo Tree Search Face-to-Face in the Card Game Scopone
... that human players won ...that human players won, lost and tied for each strategy ...(90.5%). Human players found it easier to play against the basic Greedy strategy than the slightly more advanced ... See full document
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Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search
... Evaluation. Now that we have reached F and that we are outside of ˆ T , there is no more information available to take a decision. As we are not at a leaf of T , we can not directly evaluate F . Instead, we use a ... See full document
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An investigation of Monte Carlo tree search and local search for course timetabling problems
... the search space to be thoroughly ...the search is assumed ...the search is still stuck since the previous ...the search to escape from lo- cal optima while ensuring that the current solution ... See full document
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The effect of simulation bias on action selection in Monte Carlo Tree Search
... As A LPHA G O ’s recent success against Go world champion Lee Se-dol indicates, Monte Carlo Tree Search provides a powerful framework for decision-making in complex domains. In A LPHA G O ’s ... See full document
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On the Laziness of Monte-Carlo Game Tree Search in Non-tight Situations
... asymmetric move rules, ... Acknowledgements Sincere thanks go to Joerg Sameith. When duddling around with his nice multi-game program "McRandom" I stumbled upon the phenomenon of MC-laziness. Thanks to Bernd ... See full document
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Anytime Discovery of a Diverse Set of Patterns with Monte Carlo Tree Search
... the search space without any assumption about the data and the ...the tree is a subset of feature, and each action consists of adding a new feature in the subset of ...by using UCB1-Tuned and RAVE ... See full document
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Multiobjective Monte Carlo Tree Search for Real-Time Games
... MCTS has been employed extensively in real-time games. An example of this is the popular real-time game Ms. PacMan. The objective of this game is to control Ms. PacMan to clear the maze by eating all pills, without being ... See full document
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Nested Monte Carlo Tree Search as Applied to Samurai Sudoku
... While using a metaheuristic to guide the search can be helpful in reducing program run time, the exploration of the search space can also be guided by making random choices while playing step-by-step ... See full document
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Monte Carlo Tree Search for games with Hidden Information and Uncertainty
... from search, by learning policies for all players information ...a tree which contains one unique node per unique information set ...exist using just the standard UCB1 algorithm for ... See full document
209
A Monte Carlo Tree Search Player for Birds of a Feather Solitaire
... game tree representing the possible game states and moves and use a tree search algorithm to locate a goal state (Paul and Helmert ...Classic tree search algo- rithms, like Depth ... See full document
6
Monte Carlo Tree Search in Finding Feasible Solutions for Course Timetabling Problem
... local search on randomly generated solutions ...course using matching and Hungarian ...are using methods based on the combination of graph coloring heuristics and Tabu search in finding ... See full document
8
Natural Language Generation with Tree Conditional Random Fields
... are completely independent of each other. This may harm the fluency of the generated NL sen- tence, especially when a transition from one hy- brid sequence to another is required. In fact, due to such an independence ... See full document
10
Monte-Carlo Tree Reductions for Stochastic Games
... Abstract. Monte-Carlo Tree Search (MCTS) is a powerful paradigm for perfect information ...the tree model that represents the game has to take chance and a huge branching factor into ... See full document
12
From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning
... rewards). Like for optimization algo- rithms, we derived performance bounds as a function of the quantity of near-optimal policies, measures with quantities like d, κ, or ... See full document
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Ensemble Determinization in Monte Carlo Tree Search for the Imperfect Information Card Game Magic: The Gathering
... MCTS search and we have shown that this approach provides significant benefits in playing strength, becoming competitive with a sophisticated expert rules player with a simulation budget of less than one CPU ... See full document
19
Learning is planning: near Bayes-optimal reinforcement learning via Monte-Carlo tree search
... full search tree up to a certain depth ...the tree is fully created, the leaves are each assigned a value of ...this search tree is (AC) d , making the algorithm impractical to run in ... See full document
8
Comparison of Different Selection Strategies in Monte-Carlo Tree Search for the Game of Tron
... game tree and n 0 ∈ N be the root node of the game ...the tree recursively from the root node n 0 to a leaf node n ∈ N ...game tree to describe the selection problem and then, a selection policy π is ... See full document
8
Monte Carlo Tree Search with Thompson sampling in The Settlers of Catan
... preiskovanje Monte Carlo (MCTS) je ena izmed najbolj upora- bljenih metod pri implementaciji moˇcnega raˇcunalniˇskega igralca iger v ume- tni inteligenci, brez uporabe predhodnega znanja o ... See full document
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