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Monte Carlo-based razor search on 2016 data

Monte-Carlo Tree Search

Monte-Carlo Tree Search

... time. Based on these results, we may conclude that a hand-tuned MCTS-using game engine may improve its playing strength when re-tuning the parameters with ...

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Monte Carlo tree search strategies

Monte Carlo tree search strategies

... Despite the possibly-incorrect value function, ignoring the time of occurrence of re- wards can also be beneficial. Besides simplifying the normalization of value estimates for use with UCB-based control policies, ...

169

Monte-Carlo Tree Search Solver

Monte-Carlo Tree Search Solver

... In Table 2 we notice that MCTS and MCTS-Solver score more than 50% against MIA 2000. When competing with MIA 2002, only MCTS-Solver is able to outperform the αβ program. Both MC programs are beaten by MIA 2006, although ...

12

AutoML with Monte Carlo Tree Search

AutoML with Monte Carlo Tree Search

... , 2016 ). In this paper, a new approach, called Monte Carlo Tree Search for Algorithm Configuration (Mosaic), is presented, fully exploiting the tree structure of the algorithm portfolio and ...

12

Information Set Monte Carlo Tree Search

Information Set Monte Carlo Tree Search

... gorithms based on the amount of decision time, it was important to remove factors which affect the execution time of the exper- iments: our experiments run on a cluster of heterogeneous ma- chines, all of which ...

25

Monte-Carlo tree search for Poly-Y

Monte-Carlo tree search for Poly-Y

... Our player is based on the Monte-Carlo tree search (MCTS) algorithm [8], which has already been very successful in Hex and Go. We leverage work on MCTS Hex players to construct an MCTS player ...

8

Memory Bounded Monte Carlo Tree Search

Memory Bounded Monte Carlo Tree Search

... for search-based AI methods is depth limiting: cut off the search tree at some constant depth, chosen to be shallow enough that the entire game tree down to that depth will fit into ...ing ...

7

Monte Carlo Tree Search and Its Applications

Monte Carlo Tree Search and Its Applications

... determined based on its context within the current state of the ...believable based on previous events or attributes: Character A killing character B is less believ- able if character A is not angry at ...

7

On monte carlo tree search and reinforcement learning

On monte carlo tree search and reinforcement learning

... Sutton, 2016) and they use it only in the playout for informing an ε-greedy default policy; they improve the perfor- mance of vanilla UCT on a set of GVG-AI ...plain Monte Carlo sampling; however, as ...

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A Survey of Monte Carlo Tree Search Methods

A Survey of Monte Carlo Tree Search Methods

... 4.7 Real-time MCTS Traditional board games are turn-based, often allowing each player considerable time for each move (e.g. several minutes for Go). However, real-time games tend to progress constantly even if the ...

49

Monte-Carlo tree search by best arm identification

Monte-Carlo tree search by best arm identification

... We show experimentally that our algorithms outperform existing elimination-based algorithms and match previous special-purpose methods for depth-two trees. 1 Introduction We consider two-player zero-sum ...

10

Structured parallel programming for Monte Carlo Tree Search

Structured parallel programming for Monte Carlo Tree Search

... One of the issues is solving mathematical expressions of interest with millions of terms. Up to 2011, these calculations were executed with the FORM program, which is software for symbolic manipulation. These ...

196

Analysis of a Monte Carlo Tree Search in Knight-Amazons

Analysis of a Monte Carlo Tree Search in Knight-Amazons

... trees Monte Carlo tree search employs a playout, which is simulation to determine the outcome of a game performed that two players play by random movement until the game ends from the initial ...The ...

8

Exploiting Game Decompositions in Monte Carlo Tree Search

Exploiting Game Decompositions in Monte Carlo Tree Search

... Decomposition Search is extended to multi-player games [17] using turn-move sequences (TMSeqs) as a result of the local ...Global search is based on standard search techniques but uses TMSeqs ...

13

Decentralised Monte Carlo Tree Search for Active Perception

Decentralised Monte Carlo Tree Search for Active Perception

... of Monte Carlo tree search (MCTS) that is suitable for a variety of tasks in multi-robot active per- ...these search trees, which are used to update the locally-stored joint distributions ...

16

Monte-Carlo Tree Search by Best Arm Identification

Monte-Carlo Tree Search by Best Arm Identification

... Recent advances in bandit tools and techniques for sequential learning are steadily enabling new applications and are promising the resolution of a range of challenging related problems. We study the game tree ...

20

Bayesian Panel Data Model Based on Markov Chain Monte Carlo

Bayesian Panel Data Model Based on Markov Chain Monte Carlo

... panel data model .Bayesian approach based on Markov chain Monte Carlo (MCMC) employed to make inferences on panel data model coefficients under some conditions on the prior distribution ...

13

Framework for Monte Carlo Tree Search-related strategies in Competitive Card Based Games

Framework for Monte Carlo Tree Search-related strategies in Competitive Card Based Games

... states based on game knowledge Although it is important to achieve uniform samples of deterministic game states, there are certain use cases where bias can be of ...

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An investigation of Monte Carlo tree search and local search for course timetabling problems

An investigation of Monte Carlo tree search and local search for course timetabling problems

... are based on ...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 ...

221

Prediction Distortion in Monte Carlo Tree Search and an Improved Algorithm

Prediction Distortion in Monte Carlo Tree Search and an Improved Algorithm

... are based on simulation ...the search algorithm and sophisticated, strategic nature of games such as ...Playout Search (RPS), a simplified version of MCTS that is more tractable ...the search ...

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