add PPO

codes/PPO/memory.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python
+# coding=utf-8
+'''
+Author: John
+Email: johnjim0816@gmail.com
+Date: 2021-03-23 15:30:46
+LastEditor: John
+LastEditTime: 2021-03-23 15:30:55
+Discription: 
+Environment: 
+'''
+import numpy as np
+class PPOMemory:
+    def __init__(self, batch_size):
+        self.states = []
+        self.probs = []
+        self.vals = []
+        self.actions = []
+        self.rewards = []
+        self.dones = []
+        self.batch_size = batch_size
+    def sample(self):
+        batch_step = np.arange(0, len(self.states), self.batch_size)
+        indices = np.arange(len(self.states), dtype=np.int64)
+        np.random.shuffle(indices)
+        batches = [indices[i:i+self.batch_size] for i in batch_step]
+        return np.array(self.states),\
+                np.array(self.actions),\
+                np.array(self.probs),\
+                np.array(self.vals),\
+                np.array(self.rewards),\
+                np.array(self.dones),\
+                batches
+
+    def push(self, state, action, probs, vals, reward, done):
+        self.states.append(state)
+        self.actions.append(action)
+        self.probs.append(probs)
+        self.vals.append(vals)
+        self.rewards.append(reward)
+        self.dones.append(done)
+
+    def clear(self):
+        self.states = []
+        self.probs = []
+        self.actions = []
+        self.rewards = []
+        self.dones = []
+        self.vals = []