Playing-Pong-with-Deep-Reinforcement-Learning
Public?Deep learning model is presented to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning. The model is a convolutional neural network, trained with a variant of Q-learning, whose input is raw pixels and whose output is a value function estimating future rewards in RL Pong environment.
artificial-intelligencecredit-assignment-problemdeep-q-networkdeep-reinforcement-learningepsilon-greedy-explorationpong-gamereinforcement-learning
Creat：2020-03-27T13:20:09
Update：2025-03-22T00:09:16
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