reinforcement-learning Examples and Free Source Code

When we do supervised classification with NN, why do we train for cross-entropy and not for classifi...

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OpenAI gym and Python threading...

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How should one set up the immediate reward in a RL program?...

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Choose function for On-Policy prediction with approximation...

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How to prevent the eligibility trace in SARSA with lambda = 1 from exploding for state-action pairs ...

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Is there a way to use an external loss function in pytorch?...

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How to choose action in TD(0) learning...

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training a tensorflow model on openai cartpole...

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Can't get my A3C with LSTM layer using Tensorflow to work...

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Learning rate of a Q learning agent...

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Grid World representation for a neural network...

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Why is RMSProp considered "leaky"?...

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Base cases for value iteration in reinforcement learning...

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How to do reinforcement learning with regression instead of classification...

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Python game Neural network. How to setup inputs...

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Board encoding in Tesauro's TD-Gammon...

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Tensorflow: tf.gradients between different paths of the graph...

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Eligibility traces in TensorFlow...

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ValueError: Variable A3C_net/basic_lstm_cell/weights does not exist, or was not created with tf.get_...

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Direct/indirect and supervised/unsupervised/reinforcement learning...

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Understanding policy and value functions reinforcement learning...

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Reward function with a neural network approximated Q-function...

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Reinforcement learning Total number of policies given finite states and actions...

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Reinforcement Learning - Learning from raw pixels...

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is Q-learning without a final state even possible?...

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Reward function for learning to play Curve Fever game with DQN...

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Policy Iteration vs Value Iteration...

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Reinforce Learning: Do I have to ignore hyper parameter(?) after training done in Q-learning?...

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Can not understand this line of a popular deep Q learning program...

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Different rewards for same state in reinforcement learning...

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