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The map is too big. Can I get help of a smaller district map for Birbhum district? Can I get district maps of other districts of West Bengal, later on? Cheers. - Chandan Guha 15:10, 5 June 2018 (UTC) Robin Leicester has developed an OSM Location Map, which perfectly serves my purpose for this particular page. It will also be helpful in ...
Parallax mapping with shadows. Parallax mapping (also called offset mapping or virtual displacement mapping) is an enhancement of the bump mapping or normal mapping techniques applied to textures in 3D rendering applications such as video games.
In computer graphics, mipmaps (also MIP maps) or pyramids [1] [2] [3] are pre-calculated, optimized sequences of images, each of which is a progressively lower resolution representation of the previous. The height and width of each image, or level, in the mipmap is a factor of two smaller than the previous level.
In surveying, reduced level (RL) refers to equating elevations of survey points with reference to a common assumed vertical datum. It is a vertical distance between survey point and adopted datum surface. [ 1 ]
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal.
Dribbling creates space in tight situations where the dribbler is marked (closely guarded by a defender), and the dribbler can either score or create scoring chances after a successful dribble. However, dribbling, if poorly mastered and used, may result in the loss of possession either when the ball is intercepted or tackled by a defender .
Power layup, also called jump stop layup, is a continuous shooting move in which a player stops dribbling and makes a huge leap forward (jump stop), while securing the ball in both hands from the dribbling hand, then making a layup. The move is generally used as a layup because the huge movement coming from the leap provides the momentum for ...
Inverse RL refers to inferring the reward function of an agent given the agent's behavior. Inverse reinforcement learning can be used for learning from demonstrations (or apprenticeship learning) by inferring the demonstrator's reward and then optimizing a policy to maximize returns with RL. Deep learning approaches have been used for various ...