Bandit-based search for constraint programming. In Constraint Programming (CP), page to appear. Springer-Verlag, 2013.M. Loth, M. Sebag, Y. Hamadi, and M. Schoenauer. Bandit-based search for constraint programming. In Principles and Practice of Constraint Programming - 19th International ...
今天我汇报的论文是《Playing Tetris Using Bandit-Based Monte-Carlo Planning》,即用基于老虎机的蒙特卡洛规划方法玩俄罗斯方块。 2. 首先,我们看一看这篇论文的基本信息。 3. 这篇论文发表于2011年,作者是德国弗莱堡大学的蔡中杰、张大鹏和Bernhard Nebel。发表到了AI and Games会议中,这是一个水会,在ResearchGate...
Tetris is a stochastic, open-ended board game. Existing artificial Tetris players often use different evaluation functions and plan for only one or two pieces in advance. In this paper, we developed an artificial player for Tetris using the bandit-based Monte-Carlo planning method (UCT). 俄罗斯...
Recent research leverages results from the continuous-armed bandit literature to create a reinforcement-learning algorithm for continuous state and action spaces. Initially proposed in a theoretical setting, we provide the first examination of the empirical properties of the algorithm. Through experimentation...
Bandit-Based Monte Carlo Optimization for Nearest Neighbors The celebrated Monte Carlo method estimates an expensive-to-compute quantity by random sampling. Bandit-based Monte Carlo optimization is a general techniq... V Bagaria,TZ Baharav,GM Kamath,... - 《IEEE Journal on Selected Areas in Info...
和经典静态contextual bandit比:动态性能更趋近于用户的偏好 和动态cBandit比:他们目前只考虑到了uniform的回报模型(所有arm共享一个联合系数来表示用户的偏好),期望reward为: \mathbb E[r_{u,a}(t)|x_u,\theta_a(t)]=x^T_a\theta_a(t)。其缺点在于忽略了用户对于不同item的偏好的变化; 和更先进的cBa...
(the “arm” of a bandit). Successive plays of machine i yield the payo?s Xi1 , Xi2 , . . .. For simplicity, we shall assume that Xit lies in the interval [0, 1]. An allocation policy is a mapping that selects the next arm to be played based on the sequence of past ...
Kocsis, L., Szepesvári, C. (2006). Bandit Based Monte-Carlo Planning. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds) Machine Learning: ECML 2006. ECML 2006. Lecture Notes in Computer Science(), vol 4212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11871842_29...
Task Selection for Bandit-Based Task Assignment in Heterogeneous Crowdsourcing Sugiyama, "Task selection for bandit-based task assignment in heterogeneous crowdsourcing," in Proceedings of the 20th Conference on Technologies and ... Masashi,SUGIYAMA,Hao,... - 電子情報通信学会技術研究報告:情報論...
44 changes: 44 additions & 0 deletions 44 ...ine-learning/papers/levente-kocsis-bandit-based-monte-carlo-planning/article.md Original file line numberDiff line numberDiff line change @@ -0,0 +1,44 @@ --- title: Levente Kocsis - Bandit based Monte-Carlo Planning (2006) created: 201...