add ListReplayBuffer

tianshou/data/__init__.py

@@ -1,10 +1,12 @@
 from tianshou.data.batch import Batch
-from tianshou.data.buffer import ReplayBuffer, PrioritizedReplayBuffer
+from tianshou.data.buffer import ReplayBuffer, \
+    ListReplayBuffer, PrioritizedReplayBuffer
 from tianshou.data.collector import Collector
 
 __all__ = [
     'Batch',
     'ReplayBuffer',
+    'ListReplayBuffer',
     'PrioritizedReplayBuffer',
-    'Collector'
+    'Collector',
 ]

tianshou/data/buffer.py

@@ -55,8 +55,11 @@ class ReplayBuffer(object):
         self._add_to_buffer('done', done)
         self._add_to_buffer('obs_next', obs_next)
         self._add_to_buffer('info', info)
-        self._size = min(self._size + 1, self._maxsize)
+        if self._maxsize > 0:
-        self._index = (self._index + 1) % self._maxsize
+            self._size = min(self._size + 1, self._maxsize)
+            self._index = (self._index + 1) % self._maxsize
+        else:
+            self._size = self._index = self._index + 1
 
     def reset(self):
         self._index = self._size = 0
@@ -90,6 +93,25 @@ class ReplayBuffer(object):
         )
 
 
+class ListReplayBuffer(ReplayBuffer):
+    """docstring for ListReplayBuffer"""
+    def __init__(self):
+        super().__init__(size=0)
+
+    def _add_to_buffer(self, name, inst):
+        if inst is None:
+            return
+        if self.__dict__.get(name, None) is None:
+            self.__dict__[name] = []
+        self.__dict__[name].append(inst)
+
+    def reset(self):
+        self._index = self._size = 0
+        for k in list(self.__dict__.keys()):
+            if not k.startswith('_'):
+                self.__dict__[k] = []
+
+
 class PrioritizedReplayBuffer(ReplayBuffer):
     """docstring for PrioritizedReplayBuffer"""
 

tianshou/data/collector.py

@@ -1,10 +1,10 @@
 import time
 import torch
-import numpy as np
-from copy import deepcopy
 import warnings
+import numpy as np
 from tianshou.env import BaseVectorEnv
-from tianshou.data import Batch, ReplayBuffer
+from tianshou.data import Batch, ReplayBuffer,\
+    ListReplayBuffer
 from tianshou.utils import MovAvg
 
 
@@ -37,7 +37,7 @@ class Collector(object):
                 self._multi_buf = True
             elif isinstance(self.buffer, ReplayBuffer):
                 self._cached_buf = [
-                    deepcopy(self.buffer) for _ in range(self.env_num)]
+                    ListReplayBuffer() for _ in range(self.env_num)]
             else:
                 raise TypeError('The buffer in data collector is invalid!')
         self.reset_env()