標題: Titlebook: Recent Advances in Reinforcement Learning; 8th European Worksho Sertan Girgin,Manuel Loth,Daniil Ryabko Conference proceedings 2008 Springe [打印本頁] 作者: coerce 時間: 2025-3-21 19:36
書目名稱Recent Advances in Reinforcement Learning影響因子(影響力)
書目名稱Recent Advances in Reinforcement Learning影響因子(影響力)學科排名
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書目名稱Recent Advances in Reinforcement Learning網(wǎng)絡公開度學科排名
書目名稱Recent Advances in Reinforcement Learning被引頻次
書目名稱Recent Advances in Reinforcement Learning被引頻次學科排名
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書目名稱Recent Advances in Reinforcement Learning年度引用學科排名
書目名稱Recent Advances in Reinforcement Learning讀者反饋
書目名稱Recent Advances in Reinforcement Learning讀者反饋學科排名
作者: 揮舞 時間: 2025-3-21 23:57 作者: 廢墟 時間: 2025-3-22 01:46
Christos Dimitrakakis,Michail G. Lagoudakise Daten vielmehr zu interpretieren und einige grundlegende, bisher ungel?ste Probleme zu diskutieren, halte ich es nicht für zweckm??ig, in einer Beschreibung all das zu wiederholen, was bereits in anderen Werken über das Ph?nomen der etruskischen Religion gesagt worden ist, oder s?mtliche bekannten作者: travail 時間: 2025-3-22 08:01 作者: 可觸知 時間: 2025-3-22 10:20 作者: installment 時間: 2025-3-22 14:13
Sarah Filippi,Olivier Cappé,Fabrice Clérot,Eric Mouliness a researcher. In the Rome group some seminars were organised periodically on specific topics, these being held in rotation by the different members of the group. When it came to Majorana’s turn, although everybody was very attentive, only Fermi was able to understand what was presented, and someti作者: Unsaturated-Fat 時間: 2025-3-22 18:05 作者: 向下 時間: 2025-3-22 21:31 作者: RLS898 時間: 2025-3-23 05:00 作者: Capture 時間: 2025-3-23 08:21 作者: cochlea 時間: 2025-3-23 11:55
Verena Heidrich-Meisner,Christian Igels a researcher. In the Rome group some seminars were organised periodically on specific topics, these being held in rotation by the different members of the group. When it came to Majorana’s turn, although everybody was very attentive, only Fermi was able to understand what was presented, and someti作者: Anthem 時間: 2025-3-23 15:50
Jean-Fran?ois Hren,Rémi Munos are well known in numerous neutral or ionized atoms: 2.2. . . ., 2.2. . ., 2.2. . .. According to a recent interpretation(.) the . term of the hydrogen . is formally analogous to these terms and should be precisely assigned to the configuration (2.).Σ.(?). The analogy, however, breaks down in regar作者: 自戀 時間: 2025-3-23 18:19
Yuxi Li,Dale Schuurmans are well known in numerous neutral or ionized atoms: 2.2. . . ., 2.2. . ., 2.2. . .. According to a recent interpretation(.) the . term of the hydrogen . is formally analogous to these terms and should be precisely assigned to the configuration (2.).Σ.(?). The analogy, however, breaks down in regar作者: CHOIR 時間: 2025-3-24 01:09
Daniele Loiacono,Pier Luca Lanzi are well known in numerous neutral or ionized atoms: 2.2. . . ., 2.2. . ., 2.2. . .. According to a recent interpretation(.) the . term of the hydrogen . is formally analogous to these terms and should be precisely assigned to the configuration (2.).Σ.(?). The analogy, however, breaks down in regar作者: 友好關系 時間: 2025-3-24 05:01
José D. Martín-Guerrero,Emilio Soria-Olivas,Marcelino Martínez-Sober,Antonio J. Serrrano-López,Rafae are well known in numerous neutral or ionized atoms: 2.2. . . ., 2.2. . ., 2.2. . .. According to a recent interpretation(.) the . term of the hydrogen . is formally analogous to these terms and should be precisely assigned to the configuration (2.).Σ.(?). The analogy, however, breaks down in regar作者: 巨碩 時間: 2025-3-24 09:08
Francis Maes,Ludovic Denoyer,Patrick Gallinari are well known in numerous neutral or ionized atoms: 2.2. . . ., 2.2. . ., 2.2. . .. According to a recent interpretation(.) the . term of the hydrogen . is formally analogous to these terms and should be precisely assigned to the configuration (2.).Σ.(?). The analogy, however, breaks down in regar作者: canonical 時間: 2025-3-24 14:16
Jan Peters,Jens Kober,Duy Nguyen-Tuong are well known in numerous neutral or ionized atoms: 2.2. . . ., 2.2. . ., 2.2. . .. According to a recent interpretation(.) the . term of the hydrogen . is formally analogous to these terms and should be precisely assigned to the configuration (2.).Σ.(?). The analogy, however, breaks down in regar作者: diabetes 時間: 2025-3-24 16:57 作者: 媒介 時間: 2025-3-24 22:10 作者: 癡呆 時間: 2025-3-25 00:56
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration,mmonly used) rollout sampling allocation strategy, which allocates samples equally at each state under consideration, and an almost as simple method, which allocates samples only as needed and requires significantly fewer samples.作者: Crayon 時間: 2025-3-25 04:33
Reinforcement Learning with the Use of Costly Features, features that are sufficiently informative to justify their computation. We illustrate the learning behavior of our approach using a simple experimental domain that allows us to explore the effects of a range of costs on the cost-performance trade-off.作者: Blood-Clot 時間: 2025-3-25 08:04
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning, which cannot exploit the additive structure of a .. In this paper, we present two new instantiations of ., namely . and ., using a linear programming based planning method that can exploit the additive structure of a . and address problems out of reach of ..作者: 一大塊 時間: 2025-3-25 15:44
Bayesian Reward Filtering,orcement learning, as well as a specific implementation based on sigma point Kalman filtering and kernel machines. This allows us to derive an efficient off-policy model-free approximate temporal differences algorithm which will be demonstrated on two simple benchmarks.作者: Factorable 時間: 2025-3-25 16:25 作者: 巨碩 時間: 2025-3-25 23:02 作者: 狂熱語言 時間: 2025-3-26 02:59
Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Tre number of elements. In this context, the problem of finding from an initial state .. an optimal decision strategy can be stated as an optimization problem which aims at finding an optimal combination of decisions attached to the nodes of a . modeling all possible sequences of disturbances .., .., 作者: Anterior 時間: 2025-3-26 05:50 作者: 現(xiàn)任者 時間: 2025-3-26 09:02
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration,ng as a supervised learning problem, have been proposed recently. Finding good policies with such methods requires not only an appropriate classifier, but also reliable examples of best actions, covering the state space sufficiently. Up to this time, little work has been done on appropriate covering作者: CLAP 時間: 2025-3-26 13:34 作者: 果核 時間: 2025-3-26 20:14
Regularized Fitted Q-Iteration: Application to Planning,. We propose to use fitted Q-iteration with penalized (or regularized) least-squares regression as the regression subroutine to address the problem of controlling model-complexity. The algorithm is presented in detail for the case when the function space is a reproducing-kernel Hilbert space underly作者: deadlock 時間: 2025-3-26 21:31
A Near Optimal Policy for Channel Allocation in Cognitive Radio,P). In this contribution, we consider a previously proposed model for a channel allocation task and develop an approach to compute a near optimal policy. The proposed method is based on approximate (point based) value iteration in a continuous state Markov Decision Process (MDP) which uses a specifi作者: 吞沒 時間: 2025-3-27 02:55 作者: 吞吞吐吐 時間: 2025-3-27 07:50 作者: LIEN 時間: 2025-3-27 12:02
Basis Expansion in Natural Actor Critic Methods, goal by directly approximating the policy using a parametric function approximator; the expected return of the current policy is estimated and its parameters are updated by steepest ascent in the direction of the gradient of the expected return with respect to the policy parameters. In general, the作者: 農(nóng)學 時間: 2025-3-27 15:10 作者: Conflagration 時間: 2025-3-27 19:12
Optimistic Planning of Deterministic Systems, from that state and using any sequence of actions. This forms a tree whose size is exponential in the planning time horizon. Here we ask the question: given finite computational resources (e.g. CPU time), which may not be known ahead of time, what is the best way to explore this tree, such that onc作者: immunity 時間: 2025-3-27 22:26 作者: dyspareunia 時間: 2025-3-28 02:07
Tile Coding Based on Hyperplane Tiles,nction approximator that has been successfully applied to many reinforcement learning tasks. In this paper we introduce the hyperplane tile coding, in which the usual tiles are replaced by parameterized hyperplanes that approximate the action-value function. We compared the performance of hyperplane作者: 樹上結蜜糖 時間: 2025-3-28 09:25 作者: 揉雜 時間: 2025-3-28 11:58
Applications of Reinforcement Learning to Structured Prediction,ructured outputs such as sequences, trees or graphs. When predicting such structured data, learning models have to select solutions within very large discrete spaces. The combinatorial nature of this problem has recently led to learning models integrating a search component..In this paper, we show t作者: 宣誓書 時間: 2025-3-28 14:59
,Policy Learning – A Unified Perspective with Applications in Robotics,umanoid robots. In this paper, we show two contributions: firstly, we show a unified perspective which allows us to derive several policy learning algorithms from a common point of view, i.e, policy gradient algorithms, natural-gradient algorithms and EM-like policy learning. Secondly, we present se作者: 施魔法 時間: 2025-3-28 19:54 作者: FOIL 時間: 2025-3-29 00:24
United We Stand: Population Based Methods for Solving Unknown POMDPs,cy, which is typically much simpler than the environment. We present a global search algorithm capable of finding good policies for POMDPs that are substantially larger than previously reported results. Our algorithm is general; we show it can be used with, and improves the performance of, existing 作者: Mercantile 時間: 2025-3-29 03:37
Regularized Fitted Q-Iteration: Application to Planning,ing a user-chosen kernel function. We derive bounds on the quality of the solution and argue that data-dependent penalties can lead to almost optimal performance. A simple example is used to illustrate the benefits of using a penalized procedure.作者: 生氣地 時間: 2025-3-29 07:51 作者: Adherent 時間: 2025-3-29 14:10 作者: 價值在貶值 時間: 2025-3-29 17:49
0302-9743 reinfor- ment learning, on how it could be made more e?cient, applied to a broader range of applications, and utilized at more abstract and symbolic levels. As a participant in this 8th European Workshop on Reinforcement Learning, I was struck by both the quality and quantity of the presentations. T作者: Orthodontics 時間: 2025-3-29 22:05
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case,nd for the algorithm is linear (up to a logarithmic term) in the size. of the parameter space, independently of the cardinality of the state and action spaces. We further demonstrate that much better dependence on . is possible, depending on the specific information structure of the problem.作者: finite 時間: 2025-3-30 00:01 作者: 條約 時間: 2025-3-30 06:53
Tile Coding Based on Hyperplane Tiles,on capabilities of the tile coding approximator: in the hyperplane tile coding broad generalizations over the problem space result only in a soft degradation of the performance, whereas in the usual tile coding they might dramatically affect the performance.作者: botany 時間: 2025-3-30 09:50
Use of Reinforcement Learning in Two Real Applications,marketing campaign in order to maximize long-term profits. RL obtains an individualized policy depending on customer characteristics that increases long-term profits at the end of the campaign. Results in both problems show the robustness of the obtained policies and suggest their use in other real-life problems.作者: ALTER 時間: 2025-3-30 15:39
Conference proceedings 2008ent learning, on how it could be made more e?cient, applied to a broader range of applications, and utilized at more abstract and symbolic levels. As a participant in this 8th European Workshop on Reinforcement Learning, I was struck by both the quality and quantity of the presentations. There were 作者: narcissism 時間: 2025-3-30 18:29
978-3-540-89721-7Springer-Verlag Berlin Heidelberg 2008作者: Annotate 時間: 2025-3-30 22:44
Recent Advances in Reinforcement Learning978-3-540-89722-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 炸壞 時間: 2025-3-31 02:34
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/r/image/822969.jpg作者: osteoclasts 時間: 2025-3-31 05:14 作者: STERN 時間: 2025-3-31 10:37 作者: anagen 時間: 2025-3-31 15:16 作者: 不能仁慈 時間: 2025-3-31 19:38 作者: 虛假 時間: 2025-4-1 01:42
Christos Dimitrakakis,Michail G. Lagoudakise wie C. Thulin, G. Herbig, R. Pettazzoni, C. Clemen, G. Furlani, C. C. van Essen, H. M. R. Leopold, B. Nogara, G. Q. Giglioli, A. Grenier, R. Herbig, W. Weinstock, J. Heurgon, R. Bloch und A. J. Pfiffig besch?ftigt. Das soll jedoch nicht hei?en, da? alle Probleme bereits restlos gekl?rt oder da? s?作者: forecast 時間: 2025-4-1 05:15 作者: 性學院 時間: 2025-4-1 09:19 作者: 鑲嵌細工 時間: 2025-4-1 11:41 作者: 散開 時間: 2025-4-1 17:12 作者: hypnotic 時間: 2025-4-1 21:09
Matthieu Geist,Olivier Pietquin,Gabriel Fricoutalthough later), and who made notable contributions to some of their research, is illuminating. One day some students, who were coming back to the Institute in the afternoon, after the lunch break, found Fermi and Majorana in a lecture hall in front of blackboards full of calculations, shouting at e
