RL = DeepQNetwork(n_actions=3, n_features=2, learning_rate=0.01, e_greedy=0.9,
replace_target_iter=300, memory_size=3000,
e_greedy_increment=0.02,output_graph=False)
env.render()
该操作会大大减慢程序运行速度
Reinforcement Learning. DQN to solve mountain car
RL = DeepQNetwork(n_actions=3, n_features=2, learning_rate=0.01, e_greedy=0.9,
replace_target_iter=300, memory_size=3000,
e_greedy_increment=0.02,output_graph=False)
env.render()
该操作会大大减慢程序运行速度
Reinforcement Learning. DQN to solve mountain car
MIT License