標(biāo)題: Titlebook: Reinforcement Learning for Sequential Decision and Optimal Control; Shengbo Eben Li Textbook 2023 The Editor(s) (if applicable) and The Au [打印本頁] 作者: 投降 時(shí)間: 2025-3-21 16:22
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control影響因子(影響力)
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control影響因子(影響力)學(xué)科排名
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control網(wǎng)絡(luò)公開度
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control被引頻次
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control被引頻次學(xué)科排名
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control年度引用
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control年度引用學(xué)科排名
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control讀者反饋
書目名稱Reinforcement Learning for Sequential Decision and Optimal Control讀者反饋學(xué)科排名
作者: infringe 時(shí)間: 2025-3-21 21:22 作者: PAGAN 時(shí)間: 2025-3-22 04:13
978-981-19-7786-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: forecast 時(shí)間: 2025-3-22 05:36 作者: Creditee 時(shí)間: 2025-3-22 10:05
Model-Free Indirect RL: Monte Carlo,its environment exploration does not need to traverse the whole state space; and it is often less negatively impacted by the violation of the Markov property. However, MC estimation suffers from very slow convergence due to the demand for sufficient exploration and restricted application on episodic and small-scale tasks.作者: buoyant 時(shí)間: 2025-3-22 13:02
Miscellaneous Topics, how to learn with fewer samples, how to learn rewards from experts, how to solve multi-agent games, and how to learn from offline data. The state-of-the-art RL frameworks, libraries, and simulation platforms are also briefly described to support the R&D of more advanced RL algorithms.作者: 有其法作用 時(shí)間: 2025-3-22 18:55 作者: 石墨 時(shí)間: 2025-3-22 23:56
Principles of RL Problems,o, it generally contains four key elements: state-action samples, a policy, reward signals, and an environment model. In most stochastic tasks, the value function is defined as the expectation of the long-term return, which is used to evaluate how good a policy is. It naturally holds a recursive rel作者: Inoperable 時(shí)間: 2025-3-23 03:03 作者: Accede 時(shí)間: 2025-3-23 08:44
Model-Free Indirect RL: Temporal Difference, to update the current value function. Therefore, TD learning methods can learn from incomplete episodes or continuing tasks in a step-by-step manner since it can update the value function based on its current estimate. As stated by Andrew Barto and Richard Sutton, if one had to identify one idea as作者: 出汗 時(shí)間: 2025-3-23 12:18
Model-Based Indirect RL: Dynamic Programming,s induced by the present action and future actions. Dynamic programming (DP) from Bellman’s principle of optimality serves as a leading method for solving such problems, which breaks down a multistage problem into a series of overlapping subproblems and solves each optimal decision recursively. In t作者: flaunt 時(shí)間: 2025-3-23 14:29
Indirect RL with Function Approximation,o the dimension of state space or action space grows exponentially. To address this issue, one popular generalization technique called function approximation has been widely used in RL, in which value function and policy are approximated with proper parameterized functions. The function approximatio作者: Ambulatory 時(shí)間: 2025-3-23 21:30
Direct RL with Policy Gradient,on any optimality condition to compute the optimal policy. One large class of direct RL algorithms belongs to first-order optimization, and how to calculate their policy gradients plays a central role in this algorithm family. Popular policy gradients include likelihood ratio gradient, natural polic作者: flaunt 時(shí)間: 2025-3-23 23:58
Approximate Dynamic Programming,e-horizon control tasks are generally formulated as optimal control problems (OCPs) with the assumption that perfect deterministic models are known. Online receding horizon optimization in traditional model predictive control is a viable but computationally inefficient approach. ADP refers to a clas作者: 斷斷續(xù)續(xù) 時(shí)間: 2025-3-24 03:05
State Constraints and Safety Consideration,antees. Equipping RL/ADP with the ability to handle constrained behaviors is of practical significance in both training process and controller implementation. Basically, there are three constrained RL/ADP methods, including penalty function method, Lagrange multiplier method, and feasible descent di作者: dialect 時(shí)間: 2025-3-24 09:16
Deep Reinforcement Learning, to learn directly from measurements of raw video data without any hand-engineered features or domain heuristics. A neural network with multiple layers that replicates the structure of a human brain is an effective tool to leverage. Deep reinforcement learning (DRL), which is an in-depth combination作者: 人工制品 時(shí)間: 2025-3-24 11:32
Miscellaneous Topics,ng RL are mainly related to (1) how to interact with the environment more efficiently and (2) how to learn an optimal policy with a certain amount of data. Studies on the former challenge include on-policy/off-policy, stochastic exploration, sparse reward enhancement, and offline learning, while tho作者: 聲音刺耳 時(shí)間: 2025-3-24 16:54 作者: 無禮回復(fù) 時(shí)間: 2025-3-24 20:24 作者: Interlocking 時(shí)間: 2025-3-25 02:02
Shengbo Eben Li Begriffe. So sieht We1nert in einer puristischen Anwendung dieser Sichtweisen eine Sackgasse für künftige Forschung (. 1996, S. 10); . (1999) fragt, ob es sich bei diesen Sichtweisen nicht um ?alten Wein in neuen Schl?uchen“ handele, und . führt die Konjunktur des Begriffes darauf zurück, dass es z作者: Eeg332 時(shí)間: 2025-3-25 04:08
Shengbo Eben Lipsychiatrisch erkrankter Patienten findet sich erh?hte Kortisolsekretion und eine Nivellierung der physiologischen zirkadianen Rhythmik. Vor allem bei depressiven Patienten beobachteten Sachar et al. [47] deutlich erh?hte Nebennierenrindenaktivit?t, die sich nach klinischer Remission wieder normalis作者: 委托 時(shí)間: 2025-3-25 10:46 作者: 正式通知 時(shí)間: 2025-3-25 14:04
Shengbo Eben Liagierten als Gesunde. Solche Befunde erscheinen aufschlu?reicher als die vielen Berichte über generell verl?ngerte Reaktionszeiten [10] oder reduzierte Amplituden der sp?ten Komponenten ereignisbezogener Potentiale im Elektroenzephalogramm [15, 17], denn sowohl generell verl?ngerte Reaktionszeiten a作者: 送秋波 時(shí)間: 2025-3-25 16:22
Shengbo Eben Liidenzstadt. Die Bürgerstadt ist in der Tat eine klar umrissene Erscheinung unserer Kultur- geschichte. Besonders bei der Stadt des Mittelalters tritt dies hervor. Inmitten einer Gesellschaft, die durch starke pers?nliche Abh?ngigkeiten, durch strenge Hier- archien gekennzeichnet war, entstehen in de作者: LOPE 時(shí)間: 2025-3-25 23:25
Shengbo Eben Liidenzstadt. Die Bürgerstadt ist in der Tat eine klar umrissene Erscheinung unserer Kultur- geschichte. Besonders bei der Stadt des Mittelalters tritt dies hervor. Inmitten einer Gesellschaft, die durch starke pers?nliche Abh?ngigkeiten, durch strenge Hier- archien gekennzeichnet war, entstehen in de作者: 追逐 時(shí)間: 2025-3-26 01:51
Correction to: Reinforcement Learning for Sequential Decision and Optimal Control,作者: myalgia 時(shí)間: 2025-3-26 06:32
Reinforcement Learning for Sequential Decision and Optimal Control作者: 以煙熏消毒 時(shí)間: 2025-3-26 10:39
Reinforcement Learning for Sequential Decision and Optimal Control978-981-19-7784-8作者: 耕種 時(shí)間: 2025-3-26 15:17
Introduction to Reinforcement Learning,nd large-scale sequential decision problems. Due to its potential to develop superhuman intelligent strategies, RL has attracted wide attention in a variety of fields, including autonomous driving, game AI, robot control, and quantitative trading. One of the most conspicuous successes is AlphaZero f作者: Ardent 時(shí)間: 2025-3-26 19:37 作者: ligature 時(shí)間: 2025-3-26 21:15
Model-Free Indirect RL: Temporal Difference,e interdisciplinary fields of neuroscience and psychology. A few physiological studies have found similarities to TD learning, for example, the firing rate of dopamine neurons in the brain appears to be proportional to a reward difference between the estimated reward and the actual reward. The large作者: 鎮(zhèn)壓 時(shí)間: 2025-3-27 01:46 作者: 紅潤(rùn) 時(shí)間: 2025-3-27 07:59
Indirect RL with Function Approximation,t of indirect RL. This architecture has two cyclic components: one is called actor, and the other is called critic. The actor controls how the agent behaves with respect to a learned policy, while the critic evaluates the agent’s behavior by estimating its value function. Although many successful ap作者: Nomadic 時(shí)間: 2025-3-27 11:51
Direct RL with Policy Gradient,rect RL, however, especially with off-policy gradients, is the easiness of instability in the training process. The key idea to addressing this issue is to avoid adjusting the policy too fast at each step, and representative methods include trust region policy optimization (TRPO) and proximal policy作者: 身體萌芽 時(shí)間: 2025-3-27 14:32
Approximate Dynamic Programming, from Bellman’s principle. However, since the control policy must be approximated by a proper parameterized function, the selection of the parametric structure is strongly related to closed-loop optimality. For instance, a tracking problem has two kinds of policies: the first-point policy poses unne作者: interrogate 時(shí)間: 2025-3-27 18:34
State Constraints and Safety Consideration,ic-scenery (ACS) is proposed to address the issue, whose elements include policy improvement (PIM), policy evaluation (PEV), and a newly added region identification (RID) step. By equipping an OCP with hard state constraint, the safety guarantee is equivalent to solving this constrained control task作者: 衣服 時(shí)間: 2025-3-27 22:25
Deep Reinforcement Learning,by certain tricks described in this chapter, for example, implementing constrained policy update and separated target network for higher training stability, while utilizing double Q-functions or distributional return function to eliminate overestimation.作者: adjacent 時(shí)間: 2025-3-28 02:46 作者: Fester 時(shí)間: 2025-3-28 09:41 作者: 開始從未 時(shí)間: 2025-3-28 13:23
Shengbo Eben Li P?dagogik; sie wird ausgesprochen kontrovers, teilweise auch, insbesondere in ihren erkenntnistheoretischen Facetten, polemisch geführt. Die zun?chst in den USA geführte Diskussion hat l?ngst auch die deutsche Erkenntnistheorie, Psychologie, P?dagogik und in jüngster Zeit verst?rkt auch die Fachdid作者: BALE 時(shí)間: 2025-3-28 14:43
Shengbo Eben Lirtes von 40–60 ng/ml aufrechtzuerhalten. Diese Nichtsupprimierbarkeit von Kortisol durch Dexamethason bei psychiatrisch erkrankten Patienten wurde v. a. von Carroll et al. [6,9] hinsichtlich seiner Spezifit?t für die Diagnose endogene Depression ausgearbeitet. Die meisten der heute vorliegenden Arbe作者: 慌張 時(shí)間: 2025-3-28 22:43 作者: Ibd810 時(shí)間: 2025-3-29 02:27
Shengbo Eben Lirschiede in der Versuchsanordnung entweder st?rkere oder differenziertere Reaktionen zeigen als Gesunde, und wo diese Unterschiede nicht darauf zurückgeführt werden k?nnen, da? die Messungen in den verschiedenen Bedingungen unterschiedlich reliabel sind. Ob solche Effekte dann auch wirklich charakte作者: 身體萌芽 時(shí)間: 2025-3-29 06:44
Shengbo Eben Litsverh?ltnis steht, Jahr und Tag unangefochten in einer Stadt gelebt hat, so ist er seiner feudalen Lasten ledig; sein Herr kann sein Recht gegen ihn nicht mehr geltend machen. In den stolzen Rath?usern, den gro?en Bürgerkirchen der sp?ten Gotik haben wir noch die Werke ihres Gemeinsinnes vor uns. Es lag aber978-3-531-11956-4978-3-322-85622-7作者: 朝圣者 時(shí)間: 2025-3-29 11:11
Shengbo Eben Litsverh?ltnis steht, Jahr und Tag unangefochten in einer Stadt gelebt hat, so ist er seiner feudalen Lasten ledig; sein Herr kann sein Recht gegen ihn nicht mehr geltend machen. In den stolzen Rath?usern, den gro?en Bürgerkirchen der sp?ten Gotik haben wir noch die Werke ihres Gemeinsinnes vor uns. Es lag aber978-3-531-11956-4978-3-322-85622-7作者: 浪費(fèi)物質(zhì) 時(shí)間: 2025-3-29 12:41
Ion-Selective Electrode Response in Biologic Fluidsthe indicator electrode directly or may affect the liquid junction of the reference electrode. A brief discussion is presented of the various sources of error and uncertainty in electrode measurements in biologic media especially with micro-electrodes. A serious need exists for the development of pr作者: 放棄 時(shí)間: 2025-3-29 18:23 作者: 線 時(shí)間: 2025-3-29 20:19
