--- a
+++ b/baselines/a2c/run_atari.py
@@ -0,0 +1,30 @@
+#!/usr/bin/env python3
+
+from baselines import logger
+from baselines.common.cmd_util import make_atari_env, atari_arg_parser
+from baselines.common.vec_env.vec_frame_stack import VecFrameStack
+from baselines.a2c.a2c import learn
+from baselines.ppo2.policies import CnnPolicy, LstmPolicy, LnLstmPolicy
+
+def train(env_id, num_timesteps, seed, policy, lrschedule, num_env):
+    if policy == 'cnn':
+        policy_fn = CnnPolicy
+    elif policy == 'lstm':
+        policy_fn = LstmPolicy
+    elif policy == 'lnlstm':
+        policy_fn = LnLstmPolicy
+    env = VecFrameStack(make_atari_env(env_id, num_env, seed), 4)
+    learn(policy_fn, env, seed, total_timesteps=int(num_timesteps * 1.1), lrschedule=lrschedule)
+    env.close()
+
+def main():
+    parser = atari_arg_parser()
+    parser.add_argument('--policy', help='Policy architecture', choices=['cnn', 'lstm', 'lnlstm'], default='cnn')
+    parser.add_argument('--lrschedule', help='Learning rate schedule', choices=['constant', 'linear'], default='constant')
+    args = parser.parse_args()
+    logger.configure()
+    train(args.env, num_timesteps=args.num_timesteps, seed=args.seed,
+        policy=args.policy, lrschedule=args.lrschedule, num_env=16)
+
+if __name__ == '__main__':
+    main()