iskysoft drm 1.1.1 crack Download a PDF with the full list of worms world party cd crack

nabisco premium gold crackers nutrition info

plague inc evolved free download cracked A comprehensive list can also be found at two worlds 2 castle defense v1.0 multi6 incl keygen, or by searching for the publications of author play store crackeada Kormushev, Petar.

Search or filter publications

Filter by type:

Filter by publication type

Filter by year:

game cam xpress 2.6 crack to


  • Showing results for:
  • Reset all filters

Search results

  • was ist cracken chemie JOURNAL ARTICLE
    make own keygen Kormushev P, Ugurlu B, Caldwell DG, product key generator for microsoft office 2007 free download Tsagarakis NGdosprn keygen download, 2018,

    crack mohaa 1.11 español

    , Autonomous Robots, Pages: 1-17, ISSN: 0929-5593

    game mobile crack sms © 2018 Springer Science+Business Media, LLC, part of Springer Nature Modern humanoid robots include not only active compliance but also passive compliance. Apart from improved safety and dependability, availability of passive elements, such as springs, opens up new possibilities for improving the energy efficiency. With this in mind, this paper addresses the challenging open problem of exploiting the passive compliance for the purpose of energy efficient humanoid walking. To this end, we develop a method comprising two parts: an optimization part that finds an optimal vertical center-of-mass trajectory, and a walking pattern generator part that uses this trajectory to produce a dynamically-balanced gait. For the optimization part, we propose a reinforcement learning approach that dynamically evolves the policy parametrization during the learning process. By gradually increasing the representational power of the policy parametrization, it manages to find better policies in a faster and computationally efficient way. For the walking generator part, we develop a variable-center-of-mass-height ZMP-based bipedal walking pattern generator. The method is tested in real-world experiments with the bipedal robot COMAN and achieves a significant 18% reduction in the electric energy consumption by learning to efficiently use the passive compliance of the robot.

  • movie el crack CONFERENCE PAPER
    ontrack easyrecovery 10 keygen Pardo F, Tavakoli A, Levdik V, free download crack mirc 7.29 Kormushev Pcompany of heroes tales of valor crack direct download, 2018,

    Time limits in reinforcement learning

    , International Conference on Machine Learning, Pages: 4042-4051

    quilt ladder corner blanket rack In reinforcement learning, it is common to let anagent interact for a fixed amount of time with itsenvironment before resetting it and repeating theprocess in a series of episodes. The task that theagent has to learn can either be to maximize itsperformance over (i) that fixed period, or (ii) anindefinite period where time limits are only usedduring training to diversify experience. In thispaper, we provide a formal account for how timelimits could effectively be handled in each of thetwo cases and explain why not doing so can causestate-aliasing and invalidation of experience re-play, leading to suboptimal policies and traininginstability. In case (i), we argue that the termi-nations due to time limits are in fact part of theenvironment, and thus a notion of the remainingtime should be included as part of the agent’s in-put to avoid violation of the Markov property. Incase (ii), the time limits are not part of the envi-ronment and are only used to facilitate learning.We argue that this insight should be incorporatedby bootstrapping from the value of the state atthe end of each partial episode. For both cases,we illustrate empirically the significance of ourconsiderations in improving the performance andstability of existing reinforcement learning algo-rithms, showing state-of-the-art results on severalcontrol tasks.

  • adobe audition 3.0 crack free download CONFERENCE PAPER
    gelcoat crack repair video Saputra RP, Kormushev P, 2018,

    tumblebugs crack

    , Pages: 239-240

    nba 2k13 sorunsuz crack indir © 2018 Authors. Performing search and rescue missions in disaster-struck environments is challenging. Despite the advances in the robotic search phase of the rescue missions, few works have been focused on the physical casualty extraction phase. In this work, we propose a mobile rescue robot that is capable of performing a safe casualty extraction routine. To perform this routine, this robot adopts a loco-manipulation approach. We have designed and built a mobile rescue robot platform called ResQbot as a proof of concept of the proposed system. We have conducted preliminary experiments using a sensorised human-sized dummy as a victim, to confirm that the platform is capable of performing a safe casualty extraction procedure.

  • fm 2013 crack skidrow crash CONFERENCE PAPER
    como bajo el keygen Saputra RP, Kormushev P, 2018,

    Casualty detection for mobile rescue robots via ground-projected point clouds

    , Pages: 473-475, ISSN: 0302-9743

    minecraft skin for cracked version © Springer International Publishing AG, part of Springer Nature 2018. In order to operate autonomously, mobile rescue robots need to be able to detect human casualties in disaster situations. In this paper, we propose a novel method for autonomous detection of casualties lying down on the ground based on point-cloud data. This data can be obtained from different sensors, such as an RGB-D camera or a 3D LIDAR sensor. The method is based on a ground-projected point-cloud (GPPC) image to achieve human body shape detection. A preliminary experiment has been conducted using the RANSAC method for floor detection and, the HOG feature and the SVM classifier to detect human body shape. The results show that the proposed method succeeds to identify a casualty from point-cloud data in a wide range of viewing angles.

  • does best buy fix cracked ipad screens CONFERENCE PAPER
    premium plus crackers calories Saputra RP, Kormushev P, 2018,

    avid media composer 7 trial crack mac

    , Pages: 209-220, ISSN: 0302-9743

    programa para hackear redes wifi desde windows 7 © Springer International Publishing AG, part of Springer Nature 2018. In this work, we propose a novel mobile rescue robot equipped with an immersive stereoscopic teleperception and a teleoperation control. This robot is designed with the capability to perform safely a casualty-extraction procedure. We have built a proof-of-concept mobile rescue robot called ResQbot for the experimental platform. An approach called “loco-manipulation” is used to perform the casualty-extraction procedure using the platform. The performance of this robot is evaluated in terms of task accomplishment and safety by conducting a mock rescue experiment. We use a custom-made human-sized dummy that has been sensorised to be used as the casualty. In terms of safety, we observe several parameters during the experiment including impact force, acceleration, speed and displacement of the dummy’s head. We also compare the performance of the proposed immersive stereoscopic teleperception to conventional monocular teleperception. The results of the experiments show that the observed safety parameters are below key safety thresholds which could possibly lead to head or neck injuries. Moreover, the teleperception comparison results demonstrate an improvement in task-accomplishment performance when the operator is using the immersive teleperception.

  • dora saves the snow princess keygen CONFERENCE PAPER
    easy cold dip recipes for crackers Tavakoli A, Pardo F, Kormushev P, 2018,

    Action Branching Architectures for Deep Reinforcement Learning

    virtual dj en español crack Discrete-action algorithms have been central to numerous recent successes ofdeep reinforcement learning. However, applying these algorithms tohigh-dimensional action tasks requires tackling the combinatorial increase ofthe number of possible actions with the number of action dimensions. Thisproblem is further exacerbated for continuous-action tasks that require finecontrol of actions via discretization. In this paper, we propose a novel neuralarchitecture featuring a shared decision module followed by several networkbranches, one for each action dimension. This approach achieves a linearincrease of the number of network outputs with the number of degrees of freedomby allowing a level of independence for each individual action dimension. Toillustrate the approach, we present a novel agent, called Branching DuelingQ-Network (BDQ), as a branching variant of the Dueling Double Deep Q-Network(Dueling DDQN). We evaluate the performance of our agent on a set ofchallenging continuous control tasks. The empirical results show that theproposed agent scales gracefully to environments with increasing actiondimensionality and indicate the significance of the shared decision module incoordination of the distributed action branches. Furthermore, we show that theproposed agent performs competitively against a state-of-the-art continuouscontrol algorithm, Deep Deterministic Policy Gradient (DDPG).

  • router keygen mac CONFERENCE PAPER
    aelink crack Wang K, Shah A, Kormushev P, 2018,

    SLIDER: A Bipedal Robot with Knee-less Legs and Vertical Hip Sliding Motion

  • keygen desktop author CONFERENCE PAPER
    signgo pro 1.17 crack Wang K, Shah A, Kormushev P, 2018,

    SLIDER: A novel bipedal walking robot without knees

    , Pages: 471-472, ISSN: 0302-9743

    crack graphic equalizer studio 2013 © Springer International Publishing AG, part of Springer Nature 2018. This extended abstract describes our work on SLIDER: a novel bipedal robot with knee-less legs and hip sliding motion. Compared with conventional anthropomorphic leg design, SLIDER’s leg design enables the robot to have very lightweight legs and is suitable to perform agile locomotion. To validate this design, we created a dynamics model and implemented a walk pattern generator capable of walking with a speed of 0.18 m/s in Gazebo. Currently, a physical prototype is under construction for real-world testing. The initial mechanical design and the control strategy for SLIDER are introduced.

  • divx plus converter ver crack CONFERENCE PAPER
    corel photoshop pro x4 crack Kanajar P, Caldwell DG, Kormushev P, 2017,

    Climbing over Large Obstacles with a Humanoid Robot via Multi-Contact Motion Planning

  • high noon crack iphone CONFERENCE PAPER
    cách crack sandboxie 3.76 Pardo F, Tavakoli A, Levdik V, para que sirve hackear un psp Kormushev Pwindows server 2003 r2 keygen crack, 2017,

    Time Limits in Reinforcement Learning

    , Deep Reinforcement Learning Symposium (DRLS), 31st Conference on Neural Information Processing Systems (NIPS 2017)

    maya 2013 32 bit crack keygen In reinforcement learning, it is common to let an agent interact with its environment for a fixed amount of time before resetting the environment and repeating the process in a series of episodes. The task that the agent has to learn can either be to maximize its performance over (i) that fixed period, or (ii) an indefinite period where time limits are only used during training to diversify experience. In this paper, we investigate theoretically how time limits could effectively be handled in each of the two cases. In the first one, we argue that the terminations due to time limits are in fact part of the environment, and propose to include a notion of the remaining time as part of the agent’s input. In the second case, the time limits are not part of the environment and are only used to facilitate learning. We argue that such terminations should not be treated as environmental ones and propose a method, specific to value-based algorithms, that incorporates this insight by continuing to bootstrap at the end of each partial episode. To illustrate the significance of our proposals, we perform several experiments on a range of environments from simple few-state transition graphs to complex control tasks, including novel and standard benchmark domains. Our results show that the proposed methods improve the performance and stability of existing reinforcement learning algorithms.

  • crack do gry sniper elite v2 chomikuj CONFERENCE PAPER
    download expert choice full crack Rakicevic N, Kormushev P, 2017,

    Efficient Robot Task Learning and Transfer via Informed Search in Movement Parameter Space

  • photo shop vh crack CONFERENCE PAPER
    router keygen versiones anteriores Tavakoli A, Pardo F, Kormushev P, 2017,

    Action Branching Architectures for Deep Reinforcement Learning

  • christv online premium edition 8.00 crack JOURNAL ARTICLE
    mentor graphics license crack Jamisola RS, Kormushev PS, Roberts RG, 17 millimeters to inches Caldwell DGellgy plus cracked heel, 2016,

    folder guard 8.4 pro with keygen crack

    , JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, Vol: 83, Pages: 205-218, ISSN: 0921-0296
  • the sims 3 ita crack download CONFERENCE PAPER
    why do burning logs crackle Maurelli F, Lane D, Kormushev P, crack aqua data studio 12 Caldwell D, Carreras M, Salvi J, Fox M, Long D, Kyriakopoulos K, Karras Gheavy weapon keygen download, 2016,

    The PANDORA project: a success story in AUV autonomy

    , OCEANS Conference, Publisher: IEEE, ISSN: 0197-7385
  • lotus notes id password cracker JOURNAL ARTICLE
    good way to crack your upper back Palomeras N, Carrera A, Hurtos N, master of the skies the red ace crack Karras GC, Bechlioulis CP, Cashmore M, Magazzeni D, Long D, Fox M, Kyriakopoulos KJ, Kormushev P, Salvi J, Carreras Mdownload keygen nitro pro 8, 2016,

    crack local admin password windows server 2003

    , AUTONOMOUS ROBOTS, Vol: 40, Pages: 1279-1306, ISSN: 0929-5593
  • hide and seek minecraft server 1.6.4 cracked BOOK CHAPTER
    crack pijpje Ahmadzadeh SR, Kormushev P, 2015,

    deluxe ski jump 4 keygen free download

    , Studies in Systems, Decision and Control, Pages: 75-99

    live cricket streaming india vs new zealand today match © Springer International Publishing Switzerland 2015. This chapter introduces Visuospatial Skill Learning (VSL), which is a novel interactive robot learning approach. VSL is based on visual perception that allows a robot to acquire new skills by observing a single demonstration while interacting with a tutor. The focus of VSL is placed on achieving a desired goal configuration of objects relative to another. VSL captures the object’s context for each demonstrated action. This context is the basis of the visuospatial representation and encodes implicitly the relative positioning of the object with respect to multiple other objects simultaneously. VSL is capable of learning and generalizing multi-operation skills from a single demonstration, while requiring minimum a priori knowledge about the environment. Different capabilities of VSL such as learning and generalization of object reconfiguration, classification, and turn-taking interaction are illustrated through both simulation and real-world experiments.

  • rinse crack CONFERENCE PAPER
    movavi video suite 11 keygen Ahmadzadeh SR, Paikan A, Mastrogiovanni F, cms intellicad 7.2 pro crack Natale L, Kormushev P, Caldwell DGmaya keygen 2011, 2015,

    Learning Symbolic Representations of Actions from Human Demonstrations

    , IEEE International Conference on Robotics and Automation (ICRA), Publisher: IEEE COMPUTER SOC, Pages: 3801-3808, ISSN: 1050-4729
  • copytrans control center v2.360 keygen JOURNAL ARTICLE
    buscadores de cracks y seriales gratis Bimbo J, Kormushev P, Althoefer K, tutorial crack lcg jukebox Liu Hdhl tracking website uk, 2015,

    xin crack lac viet 2013

    , ADVANCED ROBOTICS, Vol: 29, Pages: 363-374, ISSN: 0169-1864
  • orcs must die crack exe JOURNAL ARTICLE
    adobe illustrator cs5 me keygen rar Carrera A, Palomeras N, Hurtos N, crack igetter 2.9 Kormushev P, Carreras Mwhat is the purpose of mineral wool in cracking, 2015,

    fm 2013 patch 13.2.3 crack

    , PATTERN RECOGNITION LETTERS, Vol: 67, Pages: 91-99, ISSN: 0167-8655
  • sbrotator cracked deb CONFERENCE PAPER
    windows xp oem product key crack Carrera A, Palomeras N, Hurtos N, registry first aid 9.0 keygen Kormushev P, Carreras Mcrack wep without wireless client, 2015,

    Learning multiple strategies to perform a valve turning with underwater currents using an I-AUV

    , Oceans 2015 Genova, Publisher: IEEE

excel 2007 password cracker online This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: Request URI: /respub/WEB-INF/jsp/search-t4-html.jsp Query String: id=815&limit=20&respub-action=search.html Current Millis: 1537814695563 Current Time: Mon Sep 24 19:44:55 BST 2018