markov decision processes

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Sep

Meeting Minutes from AI Lab session on Saturday 21st Sep in Bengaluru

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars We had fantastic presentations on advanced Deep Learning concepts at the last Saturday AI Lab. Reinforcement Learning (RL) with Dynamic Programming : First Shubha M. started with a superb session on RL with Dynamic Programming. Dynamic Programming is a concept of breaking a problem into subproblems, solving them and then combining the […]

Posted in: Computer Vision, Deep Learning, Generative Modeling, Reinforcement Learning,

Tags: artificial intelligence, autoencoders, Computer Vision, denoising autoencoders, greedy policy, markov decision processes, object detection, policy improvement, single shot detector, sparse autoencoders, Unsupervised learning, VAE, value iteration,