diff --git a/baselines/common/vec_env/subproc_chunk_vec_env.py b/baselines/common/vec_env/subproc_chunk_vec_env.py
new file mode 100644
index 0000000000..9d95572ad8
--- /dev/null
+++ b/baselines/common/vec_env/subproc_chunk_vec_env.py
@@ -0,0 +1,124 @@
+import numpy as np
+from itertools import chain
+from multiprocessing import Process, Pipe
+from . import VecEnv, CloudpickleWrapper
+
+
+def chunks(l, n):
+    for i in range(0, len(l), n):
+        yield l[i:i+n]
+
+def chunk_worker(remote, parent_remote, env_fn_wrapper):
+    parent_remote.close()
+
+    env_fns_chunk = env_fn_wrapper.x
+
+    list_envs = [env_fn() for env_fn in env_fns_chunk]
+
+    try:
+        while True:
+            cmd, data = remote.recv()
+            if cmd == 'step':
+                results = []
+                for env, d in zip(list_envs, data):
+                    ob, reward, done, info = env.step(d)
+                    if done:
+                        ob = env.reset()
+                    results.append([ob, reward, done, info])
+                remote.send(results)
+            elif cmd == 'reset':
+                obs = [env.reset() for env in list_envs]
+                remote.send(obs)
+            elif cmd == 'render':
+                imgs = [env.render('rgb_array') for env in list_envs]
+                remote.send(imgs)
+            elif cmd == 'close':
+                remote.close()
+                break
+            elif cmd == 'get_spaces':
+                remote.send((list_envs[0].observation_space, list_envs[0].action_space))
+            else:
+                raise NotImplementedError
+    except KeyboardInterrupt:
+        print('SubprocVecEnv worker: got KeyboardInterrupt')
+    finally:
+        env.close()
+
+
+class SubprocChunkVecEnv(VecEnv):
+    """
+    VecEnv that runs multiple environments in parallel in subproceses and communicates with them via pipes.
+    Recommended to use when num_envs > 1 and step() can be a bottleneck.
+    """
+    def __init__(self, env_fns, chunk_size=1, spaces=None):
+        """
+        Arguments:
+        env_fns: iterable of callables -  functions that create environments to run in subprocesses. Need to be cloud-pickleable
+        """
+        self.waiting = False
+        self.closed = False
+        nenvs = len(env_fns)
+
+        self.chunk_size = min(chunk_size, nenvs)
+        env_fns_chunks = list(chunks(env_fns, chunk_size))
+        num_chunks = len(env_fns_chunks)
+
+        self.remotes, self.work_remotes = zip(*[Pipe() for _ in range(num_chunks)])
+        self.ps = [Process(target=chunk_worker, args=(work_remote, remote, CloudpickleWrapper(env_fn_chunk)))
+                   for (work_remote, remote, env_fn_chunk) in zip(self.work_remotes, self.remotes, env_fns_chunks)]
+
+        for p in self.ps:
+            p.daemon = True  # if the main process crashes, we should not cause things to hang
+            p.start()
+        for remote in self.work_remotes:
+            remote.close()
+
+        self.remotes[0].send(('get_spaces', None))
+        observation_space, action_space = self.remotes[0].recv()
+        self.viewer = None
+        VecEnv.__init__(self, len(env_fns), observation_space, action_space)
+
+    def step_async(self, actions):
+        self._assert_not_closed()
+        action_chunks = chunks(actions, self.chunk_size)
+        for remote, action_chunk in zip(self.remotes, action_chunks):
+            remote.send(('step', action_chunk))
+        self.waiting = True
+
+    def step_wait(self):
+        self._assert_not_closed()
+        results = [remote.recv() for remote in self.remotes]
+        results = list(chain.from_iterable(results))
+        self.waiting = False
+        obs, rews, dones, infos = zip(*results)
+        return np.stack(obs), np.stack(rews), np.stack(dones), infos
+
+    def reset(self):
+        self._assert_not_closed()
+        for remote in self.remotes:
+            remote.send(('reset', None))
+        results = [remote.recv() for remote in self.remotes]
+        results = chain.from_iterable(results)
+        return np.stack(results)
+
+    def close_extras(self):
+        self.closed = True
+        if self.waiting:
+            for remote in self.remotes:
+                remote.recv()
+        for remote in self.remotes:
+            remote.send(('close', None))
+        for p in self.ps:
+            p.join()
+
+    def get_images(self):
+        self._assert_not_closed()
+        for pipe in self.remotes:
+            pipe.send(('render', None))
+        imgs = [pipe.recv() for pipe in self.remotes]
+        imgs = chain.from_iterable(imgs)
+
+        return imgs
+
+    def _assert_not_closed(self):
+        assert not self.closed, "Trying to operate on a SubprocChunkVecEnv after calling close()"