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piEsposito/global_doom_variables.py

Last active January 21, 2020 17:20
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global_doom_variables.py
#here we set the global variables
GAMMA = .95
EPISODES = 5000
learning_rate = 0.01
#our net and frame-stacker
stacker = FrameStacker()
policy_net = PolicyNetwork(lr=learning_rate).to(device)
#some lists to write the values
num_steps = []
avg_numsteps = []
all_rewards = []
#we leverage this cell to write our graph to TensorBoard.
writer.add_graph(policy_net, stacker.stack(torch.zeros(84, 84)).unsqueeze(0).to(device))
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