Game learningN-player gamesn-tuplesThis paper covers n-tuple-based reinforcement learning (RL) algorithms for games. We present a new algorithm for temporal difference (TD) learning which works seamlessly on various games with arbitrary number of players. This is achieved by taking a player-...
RL-DOT: A Reinforcement Learning NPC Team for Playing Domination Games In this paper, we describe the design of reinforcement-learning-based domination team (RL-DOT), a nonplayer character (NPC) team for playing Unreal Tournam... W Hao,G Yang,X Chen - 《IEEE Transactions on Computational ...
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Song worked at NetEase Games as a Senior Data Mining Researcher, responsible for the research team in personalized recommendation systems and Game AI technology based on deep reinforcement learning. Dr. Junxiao Song obtained his Bachel...
In the research field of game AI, it is a good approach to allow the non-player-characters (NPCs) of digital games to become more humanity. In this paper, we try to build a tank-battle computer game and use the methodology of reinforcement learning for the NPCs (tanks). The goal of ...
In many games, players have partial observability of the world around them. To act in these games requires players to recall items, locations, and other players that are currently out of sight but have been seen earlier in the game. Typically, deep reinforcement learning a...
We investigate a class of reinforcement learning dynamics in which each player plays a "regularized best response" to a score vector consisting of his actions' cumulative payoffs. Regularized best responses are single-valued regularizations of ordinary best responses obtained by maximizing the ...
其实,增强学习一直都是机器学习中常用的一种无监督学习方法,随着deepmind公司的一些好玩的成果,比如:用程序来玩简单的video games,AlphaGo战胜李世乭等等,深度增强学习随之兴起。今天将分享的paper是Language Understanding for Text-based Games using Deep Reinforcement Learning,作者是来自麻省理工学院的博士生Karthik ...
Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In...
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