| optimizer = Adam(learning_rate=0.01) | |
| agent = Agent(enviroment, optimizer) | |
| batch_size = 32 | |
| num_of_episodes = 100 | |
| timesteps_per_episode = 1000 | |
| agent.q_network.summary() |
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