[PDF] Top 20 Reinforcement learning for robot navigation in constrained environments

... the robot body changes due to fatigue or ...is learning through non-parametric regression a large set of local kinematic models and then look for the best arrangement of these models to represent the full ... See full document

... Our motivation in this work stems from the need for software agents to detect and recognize the norms that are prevailing in a society of agents. In open normative-MAS, agents adopt a norms to increase their utilities. ... See full document

... According [14], Feature Selection is often used as a preprocessing step for machine learning, where a subset of the features available from the selected data for the application of learning algorithms. It ... See full document

... The edges distribution of the original graph is presented using Circos view in figure 2 b which shows a high density of edges within the two communities and low density of between commun[r] ... See full document

... segmentation accomplished by using histogram shape-based thresholding algorithm. There are two procedure to detect a pothole in elliptical shape based on the detected shades. First is morphological thinning to minimize ... See full document

... Coloring Learning Model ...Coloring Learning Model implementation, a well- motivated students have been shown to be as the benefit of multimedia use in the classroom and this was evident in the case ... See full document

... b Figure 9: The Result of Maximum Knee Extension Control Subject A, second trial: a Value of Target Angle and Obtained Angle, bValue of ΔTB... Journal of Theoretical and Applied Informat[r] ... See full document

... and learning parameters to determine the ANN model that lead to best ...weights, learning rate and momentum variable. This is done to speed up learning process and enhance the speech signals by ... See full document

... On comparing the NPCR and UACI values cross chaotic and duffing maps are more efficient than the others also when the encryption process comprises of multiple encryption steps using a co[r] ... See full document

... Computational time in matching process may rely on many factors including the image size, block size, huge number of overlapping blocks, large feature vector dimension, method used in fe[r] ... See full document

... The composite nonlinear feedback (CNF) is one of the control technique that developed based on the state feedback law. This control technique is proven in order to improve the transient performances as designed and ... See full document

... Mobile Cloud Computing (MCC) technology enables the resource-constrained Smartphones to outsource its richer applications onto resource-abundant cloud. Cloud computing has emerged as a platform to extend the ... See full document

... Web-Expert system (Web-ES) is used to recognize the symptoms early in women pregnancy disorders. Every pregnancy risk factors will endanger the safety of the mother and the baby, if the information obtained is less in ... See full document

... ABSTRACT This research examines the role of manger experience and formal methodology in software development, such as Reporting to senior management, Communication with users, Planning a[r] ... See full document

... and learning processes in national institutes of higher ...Electronic Learning or e-learning for short is one area which received intensive ...e- learning initiatives and strategies in the ... See full document

... Where : - Ri = alternative rank value - di+ = alternative distance value toward ideal positive solution di- = alternative distance value toward ideal negative solution - maxdi- = maximum[r] ... See full document

... that learning goals and results must be put and evaluate at a later time(NACADA, ...students learning abilities, eloquent, calling for self-critical thinking and discussed the possible functions with ... See full document

... Furthermore, we processed ‘200’ frozen blocks indexes over default and partition table-based index accessibility and evaluated that Table-based frozen block indexes consumes 56.51% less [r] ... See full document

... In this paper, we have proposed a Dynamic Multicast Height Balanced Group Key Agreement DMHBGKA technique to overcome the cost issue seen in MANET whenever any node enters or leaves the [r] ... See full document

... Mobile Robot (R) which is chasing a moving target in an unknown dynamic environment is addressed in this ...with Reinforcement Learning (GNP-RL) has several important features over other evolutionary ... See full document