Analysis of Hannan consistent selection for Monte Carlo tree search in simultaneous move games
Sign Up to like & getrecommendations! Published in 2019 at "Machine Learning"
DOI: 10.1007/s10994-019-05832-z
Abstract: Hannan consistency, or no external regret, is a key concept for learning in games. An action selection algorithm is Hannan consistent (HC) if its performance is eventually as good as selecting the best fixed action… read more here.
Keywords: form games; carlo tree; monte carlo; hannan ... See more keywords
An improved Monte Carlo Tree Search approach to workflow scheduling
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2052265
Abstract: Workflow computing has become an essential part of many scientific and engineering fields, while workflow scheduling has long been a well-known NP-complete research problem. Major previous works can be classified into two categories: heuristic-based and… read more here.
Keywords: monte carlo; carlo tree; search; tree search ... See more keywords
Combining a Monte Carlo Tree Search and a Feasibility Database to Plan and Execute Rearranging Tasks
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DOI: 10.1109/access.2021.3055455
Abstract: In this paper, we address the problem of solving rearranging tasks using a robot. Rearranging tasks are challenging because they include many problems to solve at the same time, such as determining how to pick… read more here.
Keywords: tree search; monte carlo; feasibility; carlo tree ... See more keywords
A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3120993
Abstract: An attributed dynamic graph contains multiple dynamic attributes associated with each edge in the graph. In attributed dynamic graph based applications, people usually can specify multiple constraints in the attributes to illustrate their requirements, such… read more here.
Keywords: temporal path; path discovery; monte carlo; carlo tree ... See more keywords
Intelligent Massive MIMO Antenna Selection Using Monte Carlo Tree Search
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2940128
Abstract: Antenna selection is a promising technology to achieve a good balance between high transmission capacity and low hardware complexity for massive multiple-input multiple-output (MIMO) systems. However, the design of a near-optimal antenna selection algorithm with… read more here.
Keywords: mimo; monte carlo; carlo tree; selection ... See more keywords
Autonomous maneuver decision-making method based on reinforcement learning and Monte Carlo tree search
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.996412
Abstract: Autonomous maneuver decision-making methods for air combat often rely on human knowledge, such as advantage functions, objective functions, or dense rewards in reinforcement learning, which limits the decision-making ability of unmanned combat aerial vehicle to… read more here.
Keywords: monte carlo; carlo tree; decision making; decision ... See more keywords
Learning the Fastest RNA Folding Path Based on Reinforcement Learning and Monte Carlo Tree Search
Sign Up to like & getrecommendations! Published in 2021 at "Molecules"
DOI: 10.3390/molecules26154420
Abstract: RNA molecules participate in many important biological processes, and they need to fold into well-defined secondary and tertiary structures to realize their functions. Like the well-known protein folding problem, there is also an RNA folding… read more here.
Keywords: carlo tree; monte carlo; rna; reinforcement learning ... See more keywords