標(biāo)題: Titlebook: Robot Learning; Jonathan H. Connell,Sridhar Mahadevan Book 1993 Kluwer Academic Publishers 1993 Navigation.algorithms.artificial intellige [打印本頁] 作者: incontestable 時(shí)間: 2025-3-21 16:07
書目名稱Robot Learning影響因子(影響力)
書目名稱Robot Learning影響因子(影響力)學(xué)科排名
書目名稱Robot Learning網(wǎng)絡(luò)公開度
書目名稱Robot Learning網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Robot Learning被引頻次
書目名稱Robot Learning被引頻次學(xué)科排名
書目名稱Robot Learning年度引用
書目名稱Robot Learning年度引用學(xué)科排名
書目名稱Robot Learning讀者反饋
書目名稱Robot Learning讀者反饋學(xué)科排名
作者: 光滑 時(shí)間: 2025-3-21 23:43 作者: 車床 時(shí)間: 2025-3-22 01:02 作者: innovation 時(shí)間: 2025-3-22 04:33 作者: 不易燃 時(shí)間: 2025-3-22 12:27
Rapid Task Learning for Real Robots,e order of seconds, a million steps would take several months of continuous run time. In many cases such extended runs are neither desirable nor practical. In this chapter we discuss how learning can be speeded up by exploiting properties of the task, sensor configuration, environment, and existing control structure.作者: cogitate 時(shí)間: 2025-3-22 14:47 作者: 寡頭政治 時(shí)間: 2025-3-22 18:33 作者: Spangle 時(shí)間: 2025-3-22 21:21
Uncertainty in Graph-Based Map Learning,ic information about transitions between states and only probablistic knowledge of the identity of the current state. Using this theoretical framework we can then determine whether it is at all possible for a given robot to learn some specific environment and, if so, how long this can be expected to作者: Meditative 時(shí)間: 2025-3-23 04:46 作者: BORE 時(shí)間: 2025-3-23 08:28
0893-3405 tories in the United States. The main researchdirections in robot learning covered in this book include:reinforcement learning, behavior-based architectures, ne978-1-4613-6396-5978-1-4615-3184-5Series ISSN 0893-3405 作者: GULLY 時(shí)間: 2025-3-23 09:42
disorders. Many bladder disorders result from replacement of mucosal and detrusor tissues with connective tissue, and attention is given to the nature of fibrosis and therapeutic strategies to reverse this pathology. Contractions arising from the detrusor layer are generally evoked by efferent nerv作者: Sedative 時(shí)間: 2025-3-23 16:46 作者: JIBE 時(shí)間: 2025-3-23 20:21 作者: inflate 時(shí)間: 2025-3-24 01:49 作者: 反對(duì) 時(shí)間: 2025-3-24 04:32
Book 1993s would relieve humans from much ofthe drudgery of programming and would potentially allow operation inenvironments that were changeable or only partially known. Progresstowards this goal would also make fundamental contributions toartificial intelligence by furthering our understanding of how tosuc作者: FAR 時(shí)間: 2025-3-24 09:40 作者: Cubicle 時(shí)間: 2025-3-24 10:47 作者: 音樂學(xué)者 時(shí)間: 2025-3-24 16:41
Learning Multiple Goal Behavior via Task Decomposition and Dynamic Policy Merging, of reinforcement learning to a simple class of.Not surprisingly, we find that the most straightforward, monolithic approach scales poorly, since the size of the state space is exponential in the number of goals. As an alternative, we propose a simple modular architecture which distributes the learn作者: ATRIA 時(shí)間: 2025-3-24 21:55
Memory-based Reinforcement Learning: Converging with Less Data and Less Real Time,al Differencing and Q-learning have fast real time performance. Classical methods are slower, but more accurate, because they make full use of the observations. Prioritized Sweeping aims for the best of both worlds. It uses all previous experiences both to prioritize important dynamic programming sw作者: Communal 時(shí)間: 2025-3-24 23:57 作者: aspersion 時(shí)間: 2025-3-25 05:03 作者: Recess 時(shí)間: 2025-3-25 08:30
Uncertainty in Graph-Based Map Learning, learn the spatial layout of its environment for navigation purposes. For this problem it is useful to represent the interaction of the robot with its environment as a deterministic finite automaton. In map learning the states correspond to.the inputs to robot actions (navigation procedures), and th作者: 改良 時(shí)間: 2025-3-25 15:06
Real Robots, Real Learning Problems,that many concurrent, complementary, and redundant learning methods are necessary. We propose a division of learning styles into four main types based on the amount of built-in structure and the type of information being learned. Using this classification, we discuss the effectiveness of various lea作者: 松軟無力 時(shí)間: 2025-3-25 19:03
Real Robots, Real Learning Problems, on the amount of built-in structure and the type of information being learned. Using this classification, we discuss the effectiveness of various learning methodologies when applied in a real robot context.作者: NADIR 時(shí)間: 2025-3-25 21:34
Knowledge-Based Training of Artificial Neural Networks for Autonomous Robot Driving,hicle In a Neural Network). It presents the neural network architecture and training techniques that allow ALVINN to drive in a variety of circumstances including single-lane paved and unpaved roads, multilane lined and unlined roads, and obstacle-ridden on-and off-road environments, at speeds of up to 55 miles per hour.作者: 笨拙的你 時(shí)間: 2025-3-26 02:05
Memory-based Reinforcement Learning: Converging with Less Data and Less Real Time,eeps and to guide the exploration of state-space. We compare Prioritized Sweeping with other reinforcement learning schemes for a number of different stochastic optimal control problems. It successfully solves large state-space real time problems with which other methods have difficulty.作者: Accomplish 時(shí)間: 2025-3-26 07:24 作者: medium 時(shí)間: 2025-3-26 10:20
Jonathan H. Connell,Sridhar Mahadevandulate these micturition and continence areas. The micturition reflex has three phases: (1) pre-micturition phase during realization of a safe environment; (2) relaxation phase during relaxation of the external urethral sphincter; and (3) contraction phase during contraction of the detrusor muscle. 作者: champaign 時(shí)間: 2025-3-26 14:15 作者: DEVIL 時(shí)間: 2025-3-26 18:52 作者: 充氣女 時(shí)間: 2025-3-26 23:27 作者: SLAY 時(shí)間: 2025-3-27 04:25
General Considerations for Evaluating and Counseling the Physically Handicapped, of militancy, and virtually nothing about pride. “Help the Disabled” and “Hire the Handicapped” do little to deemphasize the dependent role of people who need special assistance. The powerful connotations of the sick role appear to grip us all, normal and disabled alike.作者: 打算 時(shí)間: 2025-3-27 06:24
Leveraging a Professional Nursing Organization to Create an Antitrafficking Care Model,f trafficking, which catalyzed a response narrative almost exclusively framed by a criminal justice lens that is reactive rather than proactive. With an inequitable patchwork of state and federal laws, this downstream approach does not prioritize safeguarding human rights and promoting health. In 20作者: Ablation 時(shí)間: 2025-3-27 13:18 作者: hieroglyphic 時(shí)間: 2025-3-27 15:00 作者: 粗糙濫制 時(shí)間: 2025-3-27 17:56 作者: 祖?zhèn)髫?cái)產(chǎn) 時(shí)間: 2025-3-27 23:43 作者: 記憶 時(shí)間: 2025-3-28 03:04
in finite time. A numerical simulator of a scaled-wheeled mobile robot is utilized to assess the performance of the trajectory generation and controller design stages. The capabilities of the proposed approach are verified by numerical simulations encompassing the unperturbed and perturbed cases to作者: fledged 時(shí)間: 2025-3-28 06:55
Stakeholder Relationship Building Processes of R&D Based Startups: The Case of Techno-entrepreneurs Finally, the ethical and passionate conduct of business by these startups could be a factor drawing third parties into becoming stakeholders. Based on these findings three propositions are stated to be studied in the future.作者: 一美元 時(shí)間: 2025-3-28 11:43 作者: Fester 時(shí)間: 2025-3-28 16:39
Judicial Discretion within Adjudicative Committee Proceedings in China978-3-642-54041-7作者: 容易做 時(shí)間: 2025-3-28 20:39
Mike Driscolland human-made calamities. Climate change, marked by an increasing frequency and severity of natural disasters, necessitates a paradigm shift for businesses operations, urging a transition from reactive to proactive and resilient strategies. Research in this area has become crucial, offering organiz作者: GULLY 時(shí)間: 2025-3-29 00:28
