update
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@@ -14,17 +14,17 @@ from collections import defaultdict
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import torch
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class Sarsa(object):
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def __init__(self,
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n_actions,sarsa_cfg,):
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self.n_actions = n_actions # number of actions
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action_dim,sarsa_cfg,):
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self.action_dim = action_dim # number of actions
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self.lr = sarsa_cfg.lr # learning rate
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self.gamma = sarsa_cfg.gamma
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self.epsilon = sarsa_cfg.epsilon
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self.Q = defaultdict(lambda: np.zeros(n_actions))
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# self.Q = np.zeros((n_states, n_actions)) # Q表
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self.Q = defaultdict(lambda: np.zeros(action_dim))
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# self.Q = np.zeros((state_dim, action_dim)) # Q表
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def choose_action(self, state):
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best_action = np.argmax(self.Q[state])
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# action = best_action
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action_probs = np.ones(self.n_actions, dtype=float) * self.epsilon / self.n_actions
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action_probs = np.ones(self.action_dim, dtype=float) * self.epsilon / self.action_dim
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action_probs[best_action] += (1.0 - self.epsilon)
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action = np.random.choice(np.arange(len(action_probs)), p=action_probs)
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return action
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